ollama/server/routes.go

1809 lines
47 KiB
Go
Raw Normal View History

package server
import (
2024-06-18 01:38:55 +08:00
"bytes"
2024-05-01 01:55:19 +08:00
"cmp"
"context"
2023-07-07 01:40:11 +08:00
"encoding/json"
"errors"
"fmt"
"image"
"io"
"io/fs"
"log/slog"
"math"
"net"
"net/http"
"net/netip"
"os"
"os/signal"
2024-05-22 12:30:52 +08:00
"slices"
2023-07-07 01:40:11 +08:00
"strings"
"syscall"
2023-07-13 09:18:06 +08:00
"time"
2023-07-22 09:01:24 +08:00
"github.com/gin-contrib/cors"
"github.com/gin-gonic/gin"
"golang.org/x/image/webp"
"golang.org/x/sync/errgroup"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/discover"
"github.com/ollama/ollama/envconfig"
"github.com/ollama/ollama/format"
"github.com/ollama/ollama/fs/ggml"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/logutil"
"github.com/ollama/ollama/openai"
"github.com/ollama/ollama/server/internal/client/ollama"
"github.com/ollama/ollama/server/internal/registry"
2024-06-11 05:54:42 +08:00
"github.com/ollama/ollama/template"
"github.com/ollama/ollama/thinking"
"github.com/ollama/ollama/tools"
"github.com/ollama/ollama/types/errtypes"
2024-04-17 07:22:38 +08:00
"github.com/ollama/ollama/types/model"
"github.com/ollama/ollama/version"
)
func experimentEnabled(name string) bool {
return slices.Contains(strings.Split(os.Getenv("OLLAMA_EXPERIMENT"), ","), name)
}
var useClient2 = experimentEnabled("client2")
// Low VRAM mode is based on the sum of total VRAM (not free) and triggers
// reduced context length on some models
var lowVRAMThreshold uint64 = 20 * format.GibiByte
2023-08-23 00:48:35 +08:00
var mode string = gin.DebugMode
2023-12-15 08:47:40 +08:00
type Server struct {
addr net.Addr
sched *Scheduler
lowVRAM bool
2023-12-15 08:47:40 +08:00
}
2023-08-23 00:48:35 +08:00
func init() {
switch mode {
case gin.DebugMode:
case gin.ReleaseMode:
case gin.TestMode:
default:
mode = gin.DebugMode
}
gin.SetMode(mode)
}
2024-08-02 05:52:15 +08:00
var (
errRequired = errors.New("is required")
errBadTemplate = errors.New("template error")
)
2024-06-21 02:00:08 +08:00
func modelOptions(model *Model, requestOpts map[string]any) (api.Options, error) {
opts := api.DefaultOptions()
if err := opts.FromMap(model.Options); err != nil {
return api.Options{}, err
}
if err := opts.FromMap(requestOpts); err != nil {
return api.Options{}, err
}
return opts, nil
}
// scheduleRunner schedules a runner after validating inputs such as capabilities and model options.
// It returns the allocated runner, model instance, and consolidated options if successful and error otherwise.
func (s *Server) scheduleRunner(ctx context.Context, name string, caps []model.Capability, requestOpts map[string]any, keepAlive *api.Duration) (llm.LlamaServer, *Model, *api.Options, error) {
2024-06-18 01:38:55 +08:00
if name == "" {
return nil, nil, nil, fmt.Errorf("model %w", errRequired)
}
2024-06-18 01:38:55 +08:00
model, err := GetModel(name)
if err != nil {
return nil, nil, nil, err
}
if slices.Contains(model.Config.ModelFamilies, "mllama") && len(model.ProjectorPaths) > 0 {
return nil, nil, nil, fmt.Errorf("'llama3.2-vision' is no longer compatible with your version of Ollama and has been replaced by a newer version. To re-download, run 'ollama pull llama3.2-vision'")
}
2024-06-18 01:38:55 +08:00
if err := model.CheckCapabilities(caps...); err != nil {
return nil, nil, nil, fmt.Errorf("%s %w", name, err)
}
2024-06-18 01:38:55 +08:00
opts, err := modelOptions(model, requestOpts)
if err != nil {
return nil, nil, nil, err
}
// This model is much more capable with a larger context, so set that
// unless it would penalize performance too much
if !s.lowVRAM && slices.Contains(model.Config.ModelFamilies, "gptoss") {
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
opts.NumCtx = max(opts.NumCtx, 8192)
}
2024-06-18 01:38:55 +08:00
runnerCh, errCh := s.sched.GetRunner(ctx, model, opts, keepAlive)
var runner *runnerRef
select {
2024-06-18 01:38:55 +08:00
case runner = <-runnerCh:
case err = <-errCh:
return nil, nil, nil, err
}
return runner.llama, model, &opts, nil
2024-06-18 01:38:55 +08:00
}
func (s *Server) GenerateHandler(c *gin.Context) {
checkpointStart := time.Now()
2024-06-18 01:38:55 +08:00
var req api.GenerateRequest
if err := c.ShouldBindJSON(&req); errors.Is(err, io.EOF) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
} else if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
name := model.ParseName(req.Model)
if !name.IsValid() {
// Ideally this is "invalid model name" but we're keeping with
// what the API currently returns until we can change it.
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
return
}
// We cannot currently consolidate this into GetModel because all we'll
// induce infinite recursion given the current code structure.
name, err := getExistingName(name)
if err != nil {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
return
}
m, err := GetModel(name.String())
if err != nil {
switch {
case errors.Is(err, fs.ErrNotExist):
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
case err.Error() == errtypes.InvalidModelNameErrMsg:
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
return
}
2024-09-12 07:36:21 +08:00
// expire the runner
if req.Prompt == "" && req.KeepAlive != nil && int(req.KeepAlive.Seconds()) == 0 {
s.sched.expireRunner(m)
2024-09-12 07:36:21 +08:00
c.JSON(http.StatusOK, api.GenerateResponse{
Model: req.Model,
CreatedAt: time.Now().UTC(),
Response: "",
Done: true,
DoneReason: "unload",
})
return
}
if req.Raw && (req.Template != "" || req.System != "" || len(req.Context) > 0) {
2024-06-18 01:38:55 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "raw mode does not support template, system, or context"})
2024-06-11 05:54:42 +08:00
return
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
useHarmony := shouldUseHarmony(*m) && !req.Raw
var harmonyMessageHandler *HarmonyMessageHandler
var harmonyToolParser *HarmonyToolCallAccumulator
if useHarmony {
harmonyMessageHandler = NewHarmonyMessageHandler()
harmonyMessageHandler.harmonyParser.AddImplicitStart()
harmonyToolParser = harmonyMessageHandler.CreateToolParser()
}
// Validate Think value: string values currently only allowed for gptoss models
if req.Think != nil && req.Think.IsString() && !useHarmony {
c.JSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("think value %q is not supported for this model", req.Think.AsString())})
return
}
caps := []model.Capability{model.CapabilityCompletion}
if req.Suffix != "" {
caps = append(caps, model.CapabilityInsert)
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if req.Think != nil && req.Think.AsBool() {
caps = append(caps, model.CapabilityThinking)
// TODO(drifkin): consider adding a warning if it's false and the model
// doesn't support thinking. It's not strictly required, but it can be a
// hint that the user is on an older qwen3/r1 model that doesn't have an
// updated template supporting thinking
}
r, m, opts, err := s.scheduleRunner(c.Request.Context(), name.String(), caps, req.Options, req.KeepAlive)
2024-06-18 01:38:55 +08:00
if errors.Is(err, errCapabilityCompletion) {
c.JSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("%q does not support generate", req.Model)})
return
} else if err != nil {
2024-06-21 02:00:08 +08:00
handleScheduleError(c, req.Model, err)
return
}
checkpointLoaded := time.Now()
// load the model
2024-06-21 02:00:08 +08:00
if req.Prompt == "" {
c.JSON(http.StatusOK, api.GenerateResponse{
Model: req.Model,
CreatedAt: time.Now().UTC(),
Done: true,
DoneReason: "load",
})
2024-06-18 01:38:55 +08:00
return
}
if slices.Contains(m.Config.ModelFamilies, "mllama") && len(req.Images) > 1 {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "this model only supports one image while more than one image requested"})
return
}
2024-06-18 01:38:55 +08:00
images := make([]llm.ImageData, len(req.Images))
for i := range req.Images {
images[i] = llm.ImageData{ID: i, Data: req.Images[i]}
2024-06-18 01:38:55 +08:00
}
2023-12-06 03:57:33 +08:00
2024-06-18 01:38:55 +08:00
prompt := req.Prompt
if !req.Raw {
tmpl := m.Template
2024-06-18 01:38:55 +08:00
if req.Template != "" {
tmpl, err = template.Parse(req.Template)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
}
var values template.Values
if req.Suffix != "" {
values.Prompt = prompt
values.Suffix = req.Suffix
} else {
var msgs []api.Message
if req.System != "" {
msgs = append(msgs, api.Message{Role: "system", Content: req.System})
} else if m.System != "" {
msgs = append(msgs, api.Message{Role: "system", Content: m.System})
}
2024-06-20 05:14:28 +08:00
if req.Context == nil {
msgs = append(msgs, m.Messages...)
}
for _, i := range images {
imgPrompt := ""
msgs = append(msgs, api.Message{Role: "user", Content: fmt.Sprintf("[img-%d]"+imgPrompt, i.ID)})
}
values.Messages = append(msgs, api.Message{Role: "user", Content: req.Prompt})
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
values.Think = req.Think != nil && req.Think.AsBool()
values.ThinkLevel = ""
if req.Think != nil {
values.ThinkLevel = req.Think.AsString()
}
values.IsThinkSet = req.Think != nil
2024-06-20 05:14:28 +08:00
var b bytes.Buffer
if req.Context != nil {
slog.Warn("the context field is deprecated and will be removed in a future version of Ollama")
2024-08-01 20:56:15 +08:00
s, err := r.Detokenize(c.Request.Context(), req.Context)
2024-06-20 05:14:28 +08:00
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
2024-08-02 04:50:05 +08:00
b.WriteString(s)
2024-06-20 05:14:28 +08:00
}
2024-08-02 04:50:05 +08:00
if err := tmpl.Execute(&b, values); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
prompt = b.String()
}
var thinkingState *thinking.Parser
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if !useHarmony {
openingTag, closingTag := thinking.InferTags(m.Template.Template)
if req.Think != nil && req.Think.AsBool() && openingTag != "" && closingTag != "" {
thinkingState = &thinking.Parser{
OpeningTag: openingTag,
ClosingTag: closingTag,
}
}
}
ch := make(chan any)
go func() {
// TODO (jmorganca): avoid building the response twice both here and below
var sb strings.Builder
defer close(ch)
if err := r.Completion(c.Request.Context(), llm.CompletionRequest{
2024-06-18 01:38:55 +08:00
Prompt: prompt,
Images: images,
Format: req.Format,
Options: opts,
}, func(cr llm.CompletionResponse) {
res := api.GenerateResponse{
Model: req.Model,
CreatedAt: time.Now().UTC(),
Response: cr.Content,
Done: cr.Done,
2023-12-06 03:57:33 +08:00
Metrics: api.Metrics{
PromptEvalCount: cr.PromptEvalCount,
PromptEvalDuration: cr.PromptEvalDuration,
EvalCount: cr.EvalCount,
EvalDuration: cr.EvalDuration,
2023-12-06 03:57:33 +08:00
},
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if useHarmony {
content, thinking, toolContent := harmonyMessageHandler.AddContent(cr.Content, harmonyToolParser)
res.Response = content
res.Thinking = thinking
harmonyToolParser.Add(toolContent)
} else if thinkingState != nil {
2025-06-06 01:22:32 +08:00
thinking, content := thinkingState.AddContent(cr.Content)
res.Thinking = thinking
res.Response = content
}
if _, err := sb.WriteString(cr.Content); err != nil {
ch <- gin.H{"error": err.Error()}
}
if cr.Done {
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if useHarmony {
toolName, toolContent := harmonyToolParser.Drain()
if toolName != nil {
*toolName = strings.TrimPrefix(*toolName, "functions.")
var args api.ToolCallFunctionArguments
if err := json.Unmarshal([]byte(toolContent), &args); err != nil {
errStr := fmt.Sprintf("error parsing tool call: raw='%s', err=%s", toolContent, err.Error())
ch <- gin.H{"error": errStr}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
return
}
res.ToolCalls = append(res.ToolCalls, api.ToolCall{
Function: api.ToolCallFunction{
Name: *toolName,
Arguments: args,
},
})
}
}
res.DoneReason = cr.DoneReason.String()
res.TotalDuration = time.Since(checkpointStart)
res.LoadDuration = checkpointLoaded.Sub(checkpointStart)
if !req.Raw {
2024-08-02 04:50:05 +08:00
tokens, err := r.Tokenize(c.Request.Context(), prompt+sb.String())
if err != nil {
ch <- gin.H{"error": err.Error()}
return
}
2024-08-02 04:50:05 +08:00
res.Context = tokens
}
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if useHarmony {
// only send messages with meaningful content (empty messages confuse clients)
if res.Response != "" || res.Thinking != "" || res.Done || len(res.ToolCalls) > 0 {
ch <- res
}
return
}
ch <- res
2024-06-18 01:38:55 +08:00
}); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
if req.Stream != nil && !*req.Stream {
2024-06-18 01:38:55 +08:00
var r api.GenerateResponse
var sbThinking strings.Builder
var sbContent strings.Builder
2024-06-18 01:38:55 +08:00
for rr := range ch {
switch t := rr.(type) {
case api.GenerateResponse:
sbThinking.WriteString(t.Thinking)
sbContent.WriteString(t.Response)
2024-06-18 01:38:55 +08:00
r = t
case gin.H:
2024-06-18 01:38:55 +08:00
msg, ok := t["error"].(string)
if !ok {
msg = "unexpected error format in response"
}
2024-06-18 01:38:55 +08:00
c.JSON(http.StatusInternalServerError, gin.H{"error": msg})
return
default:
2024-06-18 01:38:55 +08:00
c.JSON(http.StatusInternalServerError, gin.H{"error": "unexpected response"})
return
}
}
r.Thinking = sbThinking.String()
r.Response = sbContent.String()
2024-06-18 01:38:55 +08:00
c.JSON(http.StatusOK, r)
return
}
streamResponse(c, ch)
}
func (s *Server) EmbedHandler(c *gin.Context) {
checkpointStart := time.Now()
var req api.EmbedRequest
err := c.ShouldBindJSON(&req)
switch {
case errors.Is(err, io.EOF):
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
case err != nil:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
truncate := true
if req.Truncate != nil && !*req.Truncate {
truncate = false
}
var input []string
switch i := req.Input.(type) {
case string:
if len(i) > 0 {
input = append(input, i)
}
case []any:
for _, v := range i {
if _, ok := v.(string); !ok {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "invalid input type"})
return
}
input = append(input, v.(string))
}
default:
if req.Input != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "invalid input type"})
return
}
}
name, err := getExistingName(model.ParseName(req.Model))
if err != nil {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
return
}
r, m, opts, err := s.scheduleRunner(c.Request.Context(), name.String(), []model.Capability{}, req.Options, req.KeepAlive)
if err != nil {
handleScheduleError(c, req.Model, err)
return
}
checkpointLoaded := time.Now()
if len(input) == 0 {
c.JSON(http.StatusOK, api.EmbedResponse{Model: req.Model, Embeddings: [][]float32{}})
return
}
kvData, _, err := getModelData(m.ModelPath, false)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
var count int
for i, s := range input {
tokens, err := r.Tokenize(c.Request.Context(), s)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
ctxLen := min(opts.NumCtx, int(kvData.ContextLength()))
if len(tokens) > ctxLen {
if !truncate {
c.JSON(http.StatusBadRequest, gin.H{"error": "input length exceeds maximum context length"})
return
}
tokens = tokens[:ctxLen]
s, err = r.Detokenize(c.Request.Context(), tokens)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
}
count += len(tokens)
input[i] = s
}
var g errgroup.Group
embeddings := make([][]float32, len(input))
for i, text := range input {
g.Go(func() error {
embedding, err := r.Embedding(c.Request.Context(), text)
if err != nil {
return err
}
embeddings[i] = normalize(embedding)
return nil
})
}
if err := g.Wait(); err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": strings.TrimSpace(err.Error())})
return
}
resp := api.EmbedResponse{
Model: req.Model,
Embeddings: embeddings,
TotalDuration: time.Since(checkpointStart),
LoadDuration: checkpointLoaded.Sub(checkpointStart),
PromptEvalCount: count,
}
c.JSON(http.StatusOK, resp)
}
func normalize(vec []float32) []float32 {
var sum float32
for _, v := range vec {
sum += v * v
}
norm := float32(0.0)
if sum > 0 {
norm = float32(1.0 / math.Sqrt(float64(sum)))
}
for i := range vec {
vec[i] *= norm
}
return vec
}
func (s *Server) EmbeddingsHandler(c *gin.Context) {
var req api.EmbeddingRequest
2024-06-18 01:38:55 +08:00
if err := c.ShouldBindJSON(&req); errors.Is(err, io.EOF) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
2024-06-18 01:38:55 +08:00
} else if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
name := model.ParseName(req.Model)
if !name.IsValid() {
c.JSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
r, _, _, err := s.scheduleRunner(c.Request.Context(), name.String(), []model.Capability{}, req.Options, req.KeepAlive)
if err != nil {
2024-06-21 02:00:08 +08:00
handleScheduleError(c, req.Model, err)
return
}
// an empty request loads the model
if req.Prompt == "" {
c.JSON(http.StatusOK, api.EmbeddingResponse{Embedding: []float64{}})
return
}
embedding, err := r.Embedding(c.Request.Context(), req.Prompt)
if err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": strings.TrimSpace(err.Error())})
return
}
var e []float64
for _, v := range embedding {
e = append(e, float64(v))
}
resp := api.EmbeddingResponse{
Embedding: e,
}
c.JSON(http.StatusOK, resp)
}
func (s *Server) PullHandler(c *gin.Context) {
2023-07-12 02:54:22 +08:00
var req api.PullRequest
2023-10-19 07:08:42 +08:00
err := c.ShouldBindJSON(&req)
switch {
case errors.Is(err, io.EOF):
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
case err != nil:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
2023-07-12 02:54:22 +08:00
return
}
name := model.ParseName(cmp.Or(req.Model, req.Name))
if !name.IsValid() {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": errtypes.InvalidModelNameErrMsg})
return
}
name, err = getExistingName(name)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
ch := make(chan any)
go func() {
defer close(ch)
2023-07-19 09:51:30 +08:00
fn := func(r api.ProgressResponse) {
ch <- r
}
2023-07-19 09:51:30 +08:00
2024-02-15 03:29:49 +08:00
regOpts := &registryOptions{
Insecure: req.Insecure,
}
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
if err := PullModel(ctx, name.DisplayShortest(), regOpts, fn); err != nil {
2023-07-21 03:12:08 +08:00
ch <- gin.H{"error": err.Error()}
}
}()
if req.Stream != nil && !*req.Stream {
waitForStream(c, ch)
return
}
streamResponse(c, ch)
}
func (s *Server) PushHandler(c *gin.Context) {
var req api.PushRequest
2023-10-19 07:08:42 +08:00
err := c.ShouldBindJSON(&req)
switch {
case errors.Is(err, io.EOF):
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
case err != nil:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
2023-07-12 02:54:22 +08:00
return
}
2023-07-07 01:40:11 +08:00
var mname string
if req.Model != "" {
mname = req.Model
} else if req.Name != "" {
mname = req.Name
} else {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
ch := make(chan any)
go func() {
defer close(ch)
2023-07-19 09:51:30 +08:00
fn := func(r api.ProgressResponse) {
ch <- r
}
2023-07-19 09:51:30 +08:00
2024-02-15 03:29:49 +08:00
regOpts := &registryOptions{
Insecure: req.Insecure,
}
2023-10-10 01:24:27 +08:00
ctx, cancel := context.WithCancel(c.Request.Context())
defer cancel()
name, err := getExistingName(model.ParseName(mname))
if err != nil {
ch <- gin.H{"error": err.Error()}
return
}
if err := PushModel(ctx, name.DisplayShortest(), regOpts, fn); err != nil {
2023-07-21 03:12:08 +08:00
ch <- gin.H{"error": err.Error()}
}
}()
if req.Stream != nil && !*req.Stream {
waitForStream(c, ch)
return
}
streamResponse(c, ch)
}
// getExistingName searches the models directory for the longest prefix match of
// the input name and returns the input name with all existing parts replaced
// with each part found. If no parts are found, the input name is returned as
// is.
func getExistingName(n model.Name) (model.Name, error) {
var zero model.Name
existing, err := Manifests(true)
if err != nil {
return zero, err
}
var set model.Name // tracks parts already canonicalized
for e := range existing {
if set.Host == "" && strings.EqualFold(e.Host, n.Host) {
n.Host = e.Host
}
if set.Namespace == "" && strings.EqualFold(e.Namespace, n.Namespace) {
n.Namespace = e.Namespace
}
if set.Model == "" && strings.EqualFold(e.Model, n.Model) {
n.Model = e.Model
}
if set.Tag == "" && strings.EqualFold(e.Tag, n.Tag) {
n.Tag = e.Tag
}
}
return n, nil
}
func (s *Server) DeleteHandler(c *gin.Context) {
var r api.DeleteRequest
if err := c.ShouldBindJSON(&r); errors.Is(err, io.EOF) {
2023-10-19 07:08:42 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
} else if err != nil {
2023-10-19 07:08:42 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
2023-07-21 07:09:23 +08:00
return
}
n := model.ParseName(cmp.Or(r.Model, r.Name))
if !n.IsValid() {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("name %q is invalid", cmp.Or(r.Model, r.Name))})
return
}
2023-09-27 08:28:14 +08:00
n, err := getExistingName(n)
if err != nil {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", cmp.Or(r.Model, r.Name))})
return
}
m, err := ParseNamedManifest(n)
2023-09-27 08:28:14 +08:00
if err != nil {
switch {
case os.IsNotExist(err):
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", cmp.Or(r.Model, r.Name))})
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
2023-09-27 08:28:14 +08:00
return
}
if err := m.Remove(); err != nil {
2023-09-27 08:28:14 +08:00
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
if err := m.RemoveLayers(); err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
2023-07-21 07:09:23 +08:00
}
func (s *Server) ShowHandler(c *gin.Context) {
2023-09-07 02:04:17 +08:00
var req api.ShowRequest
2023-10-19 07:08:42 +08:00
err := c.ShouldBindJSON(&req)
switch {
case errors.Is(err, io.EOF):
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
case err != nil:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
2023-09-07 02:04:17 +08:00
return
}
if req.Model != "" {
2024-01-19 07:36:50 +08:00
// noop
} else if req.Name != "" {
2024-01-19 07:36:50 +08:00
req.Model = req.Name
} else {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
resp, err := GetModelInfo(req)
2023-09-07 02:04:17 +08:00
if err != nil {
switch {
case os.IsNotExist(err):
2024-01-19 07:36:50 +08:00
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
case err.Error() == errtypes.InvalidModelNameErrMsg:
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
default:
2023-09-07 02:04:17 +08:00
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
return
}
c.JSON(http.StatusOK, resp)
}
func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
name := model.ParseName(req.Model)
if !name.IsValid() {
return nil, ErrModelPathInvalid
}
name, err := getExistingName(name)
if err != nil {
return nil, err
}
m, err := GetModel(name.String())
2023-09-07 02:04:17 +08:00
if err != nil {
return nil, err
}
modelDetails := api.ModelDetails{
ParentModel: m.ParentModel,
Format: m.Config.ModelFormat,
Family: m.Config.ModelFamily,
Families: m.Config.ModelFamilies,
ParameterSize: m.Config.ModelType,
QuantizationLevel: m.Config.FileType,
}
if req.System != "" {
m.System = req.System
}
2024-06-18 01:38:55 +08:00
msgs := make([]api.Message, len(m.Messages))
for i, msg := range m.Messages {
msgs[i] = api.Message{Role: msg.Role, Content: msg.Content}
2024-01-26 04:12:36 +08:00
}
manifest, err := ParseNamedManifest(name)
if err != nil {
return nil, err
}
2023-09-07 02:04:17 +08:00
resp := &api.ShowResponse{
License: strings.Join(m.License, "\n"),
System: m.System,
Template: m.Template.String(),
Details: modelDetails,
Messages: msgs,
Capabilities: m.Capabilities(),
ModifiedAt: manifest.fi.ModTime(),
2023-09-07 02:04:17 +08:00
}
var params []string
cs := 30
for k, v := range m.Options {
2023-09-07 02:04:17 +08:00
switch val := v.(type) {
case []any:
2023-09-07 02:04:17 +08:00
for _, nv := range val {
2024-01-17 02:34:44 +08:00
params = append(params, fmt.Sprintf("%-*s %#v", cs, k, nv))
2023-09-07 02:04:17 +08:00
}
2024-01-17 02:34:44 +08:00
default:
params = append(params, fmt.Sprintf("%-*s %#v", cs, k, v))
2023-09-07 02:04:17 +08:00
}
}
resp.Parameters = strings.Join(params, "\n")
if len(req.Options) > 0 {
if m.Options == nil {
m.Options = make(map[string]any)
}
for k, v := range req.Options {
m.Options[k] = v
}
}
var sb strings.Builder
fmt.Fprintln(&sb, "# Modelfile generated by \"ollama show\"")
fmt.Fprintln(&sb, "# To build a new Modelfile based on this, replace FROM with:")
fmt.Fprintf(&sb, "# FROM %s\n\n", m.ShortName)
fmt.Fprint(&sb, m.String())
resp.Modelfile = sb.String()
kvData, tensors, err := getModelData(m.ModelPath, req.Verbose)
if err != nil {
return nil, err
}
delete(kvData, "general.name")
delete(kvData, "tokenizer.chat_template")
resp.ModelInfo = kvData
tensorData := make([]api.Tensor, len(tensors.Items()))
for cnt, t := range tensors.Items() {
tensorData[cnt] = api.Tensor{Name: t.Name, Type: t.Type(), Shape: t.Shape}
}
resp.Tensors = tensorData
if len(m.ProjectorPaths) > 0 {
projectorData, _, err := getModelData(m.ProjectorPaths[0], req.Verbose)
if err != nil {
return nil, err
}
resp.ProjectorInfo = projectorData
}
2023-09-07 02:04:17 +08:00
return resp, nil
}
func getModelData(digest string, verbose bool) (ggml.KV, ggml.Tensors, error) {
maxArraySize := 0
if verbose {
maxArraySize = -1
}
data, err := llm.LoadModel(digest, maxArraySize)
if err != nil {
return nil, ggml.Tensors{}, err
}
kv := data.KV()
if !verbose {
for k := range kv {
if t, ok := kv[k].([]any); len(t) > 5 && ok {
kv[k] = []any{}
}
}
}
return kv, data.Tensors(), nil
}
func (s *Server) ListHandler(c *gin.Context) {
ms, err := Manifests(true)
2023-07-19 00:09:45 +08:00
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
2023-08-31 02:14:12 +08:00
models := []api.ListModelResponse{}
2024-05-07 07:34:13 +08:00
for n, m := range ms {
var cf ConfigV2
if m.Config.Digest != "" {
f, err := m.Config.Open()
if err != nil {
slog.Warn("bad manifest filepath", "name", n, "error", err)
continue
}
defer f.Close()
if err := json.NewDecoder(f).Decode(&cf); err != nil {
slog.Warn("bad manifest config", "name", n, "error", err)
continue
}
2023-07-19 00:09:45 +08:00
}
2023-08-31 02:14:12 +08:00
// tag should never be masked
models = append(models, api.ListModelResponse{
2024-05-07 07:34:13 +08:00
Model: n.DisplayShortest(),
Name: n.DisplayShortest(),
Size: m.Size(),
Digest: m.digest,
ModifiedAt: m.fi.ModTime(),
Details: api.ModelDetails{
Format: cf.ModelFormat,
Family: cf.ModelFamily,
Families: cf.ModelFamilies,
ParameterSize: cf.ModelType,
QuantizationLevel: cf.FileType,
},
})
2023-07-19 00:09:45 +08:00
}
slices.SortStableFunc(models, func(i, j api.ListModelResponse) int {
2024-04-18 05:54:14 +08:00
// most recently modified first
return cmp.Compare(j.ModifiedAt.Unix(), i.ModifiedAt.Unix())
})
2023-07-20 06:00:28 +08:00
c.JSON(http.StatusOK, api.ListResponse{Models: models})
2023-07-19 00:09:45 +08:00
}
func (s *Server) CopyHandler(c *gin.Context) {
2024-04-17 07:22:38 +08:00
var r api.CopyRequest
if err := c.ShouldBindJSON(&r); errors.Is(err, io.EOF) {
2023-10-19 07:08:42 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
2024-04-17 07:22:38 +08:00
} else if err != nil {
2023-10-19 07:08:42 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
2023-07-24 23:27:28 +08:00
return
}
2024-04-17 07:22:38 +08:00
src := model.ParseName(r.Source)
if !src.IsValid() {
2024-05-02 03:39:05 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("source %q is invalid", r.Source)})
return
}
src, err := getExistingName(src)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
2024-04-17 07:22:38 +08:00
dst := model.ParseName(r.Destination)
if !dst.IsValid() {
2024-05-08 08:35:52 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("destination %q is invalid", r.Destination)})
2023-07-24 23:27:28 +08:00
return
}
dst, err = getExistingName(dst)
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
2024-04-17 07:22:38 +08:00
if err := CopyModel(src, dst); errors.Is(err, os.ErrNotExist) {
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model %q not found", r.Source)})
} else if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
2023-07-24 23:27:28 +08:00
}
func (s *Server) HeadBlobHandler(c *gin.Context) {
2023-11-15 06:07:40 +08:00
path, err := GetBlobsPath(c.Param("digest"))
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
if _, err := os.Stat(path); err != nil {
c.AbortWithStatusJSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("blob %q not found", c.Param("digest"))})
return
}
2023-11-16 05:55:37 +08:00
c.Status(http.StatusOK)
2023-11-15 06:07:40 +08:00
}
func (s *Server) CreateBlobHandler(c *gin.Context) {
2024-05-21 05:58:27 +08:00
if ib, ok := intermediateBlobs[c.Param("digest")]; ok {
p, err := GetBlobsPath(ib)
if err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
if _, err := os.Stat(p); errors.Is(err, os.ErrNotExist) {
2024-05-21 05:58:27 +08:00
slog.Info("evicting intermediate blob which no longer exists", "digest", ib)
delete(intermediateBlobs, c.Param("digest"))
} else if err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
} else {
c.Status(http.StatusOK)
return
}
}
2024-04-06 00:30:09 +08:00
path, err := GetBlobsPath(c.Param("digest"))
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
_, err = os.Stat(path)
switch {
case errors.Is(err, os.ErrNotExist):
// noop
case err != nil:
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
default:
c.Status(http.StatusOK)
return
}
2023-11-25 04:01:23 +08:00
layer, err := NewLayer(c.Request.Body, "")
2023-11-18 07:21:57 +08:00
if err != nil {
c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
2023-11-25 04:01:23 +08:00
if layer.Digest != c.Param("digest") {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("digest mismatch, expected %q, got %q", c.Param("digest"), layer.Digest)})
2023-11-15 06:07:40 +08:00
return
}
2023-11-16 05:55:37 +08:00
c.Status(http.StatusCreated)
2023-11-15 06:07:40 +08:00
}
2024-03-09 16:22:08 +08:00
func isLocalIP(ip netip.Addr) bool {
if interfaces, err := net.Interfaces(); err == nil {
for _, iface := range interfaces {
addrs, err := iface.Addrs()
if err != nil {
continue
}
for _, a := range addrs {
if parsed, _, err := net.ParseCIDR(a.String()); err == nil {
if parsed.String() == ip.String() {
return true
}
}
}
}
}
return false
}
func allowedHost(host string) bool {
host = strings.ToLower(host)
2024-03-09 16:22:08 +08:00
if host == "" || host == "localhost" {
return true
}
if hostname, err := os.Hostname(); err == nil && host == strings.ToLower(hostname) {
return true
}
2024-08-02 05:52:15 +08:00
tlds := []string{
2024-03-09 15:23:59 +08:00
"localhost",
"local",
"internal",
2023-12-15 08:47:40 +08:00
}
2024-03-09 15:29:53 +08:00
// check if the host is a local TLD
for _, tld := range tlds {
if strings.HasSuffix(host, "."+tld) {
return true
}
}
2024-03-09 15:29:53 +08:00
return false
2024-03-09 15:23:59 +08:00
}
2024-03-09 15:23:59 +08:00
func allowedHostsMiddleware(addr net.Addr) gin.HandlerFunc {
return func(c *gin.Context) {
if addr == nil {
c.Next()
return
}
2024-03-09 16:22:08 +08:00
if addr, err := netip.ParseAddrPort(addr.String()); err == nil && !addr.Addr().IsLoopback() {
c.Next()
return
}
host, _, err := net.SplitHostPort(c.Request.Host)
if err != nil {
host = c.Request.Host
}
2024-03-09 15:23:59 +08:00
if addr, err := netip.ParseAddr(host); err == nil {
2024-03-09 16:22:08 +08:00
if addr.IsLoopback() || addr.IsPrivate() || addr.IsUnspecified() || isLocalIP(addr) {
2024-03-09 15:23:59 +08:00
c.Next()
return
}
}
if allowedHost(host) {
2024-05-22 13:21:04 +08:00
if c.Request.Method == http.MethodOptions {
c.AbortWithStatus(http.StatusNoContent)
return
}
c.Next()
return
}
c.AbortWithStatus(http.StatusForbidden)
}
2023-12-15 08:47:40 +08:00
}
func (s *Server) GenerateRoutes(rc *ollama.Registry) (http.Handler, error) {
corsConfig := cors.DefaultConfig()
corsConfig.AllowWildcard = true
corsConfig.AllowBrowserExtensions = true
corsConfig.AllowHeaders = []string{
"Authorization",
"Content-Type",
"User-Agent",
"Accept",
"X-Requested-With",
// OpenAI compatibility headers
"OpenAI-Beta",
"x-stainless-arch",
"x-stainless-async",
"x-stainless-custom-poll-interval",
"x-stainless-helper-method",
"x-stainless-lang",
"x-stainless-os",
"x-stainless-package-version",
"x-stainless-poll-helper",
"x-stainless-retry-count",
"x-stainless-runtime",
"x-stainless-runtime-version",
"x-stainless-timeout",
}
corsConfig.AllowOrigins = envconfig.AllowedOrigins()
2023-07-22 09:01:24 +08:00
2023-07-06 03:37:33 +08:00
r := gin.Default()
r.HandleMethodNotAllowed = true
r.Use(
cors.New(corsConfig),
allowedHostsMiddleware(s.addr),
)
2023-07-06 03:37:33 +08:00
// General
r.HEAD("/", func(c *gin.Context) { c.String(http.StatusOK, "Ollama is running") })
r.GET("/", func(c *gin.Context) { c.String(http.StatusOK, "Ollama is running") })
r.HEAD("/api/version", func(c *gin.Context) { c.JSON(http.StatusOK, gin.H{"version": version.Version}) })
r.GET("/api/version", func(c *gin.Context) { c.JSON(http.StatusOK, gin.H{"version": version.Version}) })
// Local model cache management (new implementation is at end of function)
r.POST("/api/pull", s.PullHandler)
r.POST("/api/push", s.PushHandler)
r.HEAD("/api/tags", s.ListHandler)
r.GET("/api/tags", s.ListHandler)
r.POST("/api/show", s.ShowHandler)
r.DELETE("/api/delete", s.DeleteHandler)
// Create
r.POST("/api/create", s.CreateHandler)
r.POST("/api/blobs/:digest", s.CreateBlobHandler)
r.HEAD("/api/blobs/:digest", s.HeadBlobHandler)
r.POST("/api/copy", s.CopyHandler)
// Inference
r.GET("/api/ps", s.PsHandler)
r.POST("/api/generate", s.GenerateHandler)
r.POST("/api/chat", s.ChatHandler)
r.POST("/api/embed", s.EmbedHandler)
r.POST("/api/embeddings", s.EmbeddingsHandler)
// Inference (OpenAI compatibility)
r.POST("/v1/chat/completions", openai.ChatMiddleware(), s.ChatHandler)
r.POST("/v1/completions", openai.CompletionsMiddleware(), s.GenerateHandler)
r.POST("/v1/embeddings", openai.EmbeddingsMiddleware(), s.EmbedHandler)
r.GET("/v1/models", openai.ListMiddleware(), s.ListHandler)
r.GET("/v1/models/:model", openai.RetrieveMiddleware(), s.ShowHandler)
if rc != nil {
// wrap old with new
rs := &registry.Local{
Client: rc,
Logger: slog.Default(), // TODO(bmizerany): Take a logger, do not use slog.Default()
Fallback: r,
Prune: PruneLayers,
}
return rs, nil
}
return r, nil
2023-12-15 08:47:40 +08:00
}
func Serve(ln net.Listener) error {
slog.SetDefault(logutil.NewLogger(os.Stderr, envconfig.LogLevel()))
slog.Info("server config", "env", envconfig.Values())
blobsDir, err := GetBlobsPath("")
if err != nil {
return err
}
if err := fixBlobs(blobsDir); err != nil {
return err
}
2024-07-04 08:22:13 +08:00
if !envconfig.NoPrune() {
if _, err := Manifests(false); err != nil {
slog.Warn("corrupt manifests detected, skipping prune operation. Re-pull or delete to clear", "error", err)
} else {
// clean up unused layers and manifests
if err := PruneLayers(); err != nil {
return err
}
2023-12-15 08:47:40 +08:00
manifestsPath, err := GetManifestPath()
if err != nil {
return err
}
2023-12-15 08:47:40 +08:00
if err := PruneDirectory(manifestsPath); err != nil {
return err
}
2023-12-15 08:47:40 +08:00
}
}
s := &Server{addr: ln.Addr()}
var rc *ollama.Registry
if useClient2 {
var err error
rc, err = ollama.DefaultRegistry()
if err != nil {
return err
}
}
h, err := s.GenerateRoutes(rc)
if err != nil {
return err
}
http.Handle("/", h)
ctx, done := context.WithCancel(context.Background())
schedCtx, schedDone := context.WithCancel(ctx)
sched := InitScheduler(schedCtx)
s.sched = sched
2023-12-15 08:47:40 +08:00
slog.Info(fmt.Sprintf("Listening on %s (version %s)", ln.Addr(), version.Version))
2023-12-15 08:47:40 +08:00
srvr := &http.Server{
// Use http.DefaultServeMux so we get net/http/pprof for
// free.
//
// TODO(bmizerany): Decide if we want to make this
// configurable so it is not exposed by default, or allow
// users to bind it to a different port. This was a quick
// and easy way to get pprof, but it may not be the best
// way.
Handler: nil,
}
// listen for a ctrl+c and stop any loaded llm
signals := make(chan os.Signal, 1)
signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)
go func() {
<-signals
srvr.Close()
schedDone()
sched.unloadAllRunners()
done()
}()
s.sched.Run(schedCtx)
// register the experimental webp decoder
// so webp images can be used in multimodal inputs
image.RegisterFormat("webp", "RIFF????WEBP", webp.Decode, webp.DecodeConfig)
// At startup we retrieve GPU information so we can get log messages before loading a model
// This will log warnings to the log in case we have problems with detected GPUs
gpus := discover.GetGPUInfo()
gpus.LogDetails()
var totalVRAM uint64
for _, gpu := range gpus {
totalVRAM += gpu.TotalMemory - envconfig.GpuOverhead()
}
if totalVRAM < lowVRAMThreshold {
s.lowVRAM = true
slog.Info("entering low vram mode", "total vram", format.HumanBytes2(totalVRAM), "threshold", format.HumanBytes2(lowVRAMThreshold))
}
err = srvr.Serve(ln)
// If server is closed from the signal handler, wait for the ctx to be done
// otherwise error out quickly
if !errors.Is(err, http.ErrServerClosed) {
return err
}
<-ctx.Done()
2024-05-17 07:25:38 +08:00
return nil
}
2023-07-07 01:40:11 +08:00
func waitForStream(c *gin.Context, ch chan any) {
c.Header("Content-Type", "application/json")
var latest api.ProgressResponse
for resp := range ch {
switch r := resp.(type) {
case api.ProgressResponse:
latest = r
case gin.H:
status, ok := r["status"].(int)
if !ok {
status = http.StatusInternalServerError
}
errorMsg, ok := r["error"].(string)
if !ok {
errorMsg = "unknown error"
}
c.JSON(status, gin.H{"error": errorMsg})
return
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": "unknown message type"})
return
}
}
c.JSON(http.StatusOK, latest)
}
func streamResponse(c *gin.Context, ch chan any) {
c.Header("Content-Type", "application/x-ndjson")
2023-07-12 02:54:22 +08:00
c.Stream(func(w io.Writer) bool {
val, ok := <-ch
if !ok {
return false
}
bts, err := json.Marshal(val)
if err != nil {
slog.Info(fmt.Sprintf("streamResponse: json.Marshal failed with %s", err))
2023-07-12 02:54:22 +08:00
return false
}
// Delineate chunks with new-line delimiter
2023-07-12 02:54:22 +08:00
bts = append(bts, '\n')
if _, err := w.Write(bts); err != nil {
slog.Info(fmt.Sprintf("streamResponse: w.Write failed with %s", err))
2023-07-12 02:54:22 +08:00
return false
}
return true
})
}
2023-12-06 03:57:33 +08:00
func (s *Server) PsHandler(c *gin.Context) {
models := []api.ProcessModelResponse{}
for _, v := range s.sched.loaded {
model := v.model
modelDetails := api.ModelDetails{
Format: model.Config.ModelFormat,
Family: model.Config.ModelFamily,
Families: model.Config.ModelFamilies,
ParameterSize: model.Config.ModelType,
QuantizationLevel: model.Config.FileType,
}
mr := api.ProcessModelResponse{
Model: model.ShortName,
Name: model.ShortName,
Size: int64(v.estimatedTotal),
SizeVRAM: int64(v.estimatedVRAM),
Digest: model.Digest,
Details: modelDetails,
ExpiresAt: v.expiresAt,
}
if v.Options != nil {
mr.ContextLength = v.Options.NumCtx / v.numParallel
}
// The scheduler waits to set expiresAt, so if a model is loading it's
// possible that it will be set to the unix epoch. For those cases, just
// calculate the time w/ the sessionDuration instead.
var epoch time.Time
if v.expiresAt == epoch {
mr.ExpiresAt = time.Now().Add(v.sessionDuration)
}
models = append(models, mr)
}
slices.SortStableFunc(models, func(i, j api.ProcessModelResponse) int {
// longest duration remaining listed first
return cmp.Compare(j.ExpiresAt.Unix(), i.ExpiresAt.Unix())
})
c.JSON(http.StatusOK, api.ProcessResponse{Models: models})
}
func (s *Server) ChatHandler(c *gin.Context) {
checkpointStart := time.Now()
2023-12-06 03:57:33 +08:00
var req api.ChatRequest
2024-06-18 01:38:55 +08:00
if err := c.ShouldBindJSON(&req); errors.Is(err, io.EOF) {
2023-12-06 03:57:33 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
return
2024-06-18 01:38:55 +08:00
} else if err != nil {
2023-12-06 03:57:33 +08:00
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
}
2024-09-12 07:36:21 +08:00
// expire the runner
if len(req.Messages) == 0 && req.KeepAlive != nil && int(req.KeepAlive.Seconds()) == 0 {
model, err := GetModel(req.Model)
if err != nil {
switch {
case os.IsNotExist(err):
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
case err.Error() == errtypes.InvalidModelNameErrMsg:
2024-09-12 07:36:21 +08:00
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
return
}
s.sched.expireRunner(model)
c.JSON(http.StatusOK, api.ChatResponse{
Model: req.Model,
CreatedAt: time.Now().UTC(),
Message: api.Message{Role: "assistant"},
Done: true,
DoneReason: "unload",
})
return
}
caps := []model.Capability{model.CapabilityCompletion}
if len(req.Tools) > 0 {
caps = append(caps, model.CapabilityTools)
2024-06-21 04:45:47 +08:00
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if req.Think != nil && req.Think.AsBool() {
caps = append(caps, model.CapabilityThinking)
}
2024-06-21 04:45:47 +08:00
name := model.ParseName(req.Model)
if !name.IsValid() {
c.JSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
name, err := getExistingName(name)
if err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": "model is required"})
return
}
r, m, opts, err := s.scheduleRunner(c.Request.Context(), name.String(), caps, req.Options, req.KeepAlive)
2024-06-18 01:38:55 +08:00
if errors.Is(err, errCapabilityCompletion) {
c.JSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("%q does not support chat", req.Model)})
2023-12-06 03:57:33 +08:00
return
2024-06-18 01:38:55 +08:00
} else if err != nil {
2024-06-21 02:00:08 +08:00
handleScheduleError(c, req.Model, err)
2023-12-06 03:57:33 +08:00
return
}
2024-02-01 09:39:38 +08:00
checkpointLoaded := time.Now()
2024-06-18 01:38:55 +08:00
if len(req.Messages) == 0 {
c.JSON(http.StatusOK, api.ChatResponse{
2024-05-10 04:30:14 +08:00
Model: req.Model,
2024-06-18 01:38:55 +08:00
CreatedAt: time.Now().UTC(),
Message: api.Message{Role: "assistant"},
2024-05-10 04:30:14 +08:00
Done: true,
DoneReason: "load",
2024-06-18 01:38:55 +08:00
})
return
}
2024-06-20 05:14:28 +08:00
msgs := append(m.Messages, req.Messages...)
if req.Messages[0].Role != "system" && m.System != "" {
2024-06-20 05:14:28 +08:00
msgs = append([]api.Message{{Role: "system", Content: m.System}}, msgs...)
}
msgs = filterThinkTags(msgs, m)
prompt, images, err := chatPrompt(c.Request.Context(), m, r.Tokenize, opts, msgs, req.Tools, req.Think)
2024-06-18 01:38:55 +08:00
if err != nil {
2024-11-28 05:40:57 +08:00
slog.Error("chat prompt error", "error", err)
2024-06-18 01:38:55 +08:00
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
useHarmony := shouldUseHarmony(*m)
// Validate Think value: string values currently only allowed for gptoss models
if req.Think != nil && req.Think.IsString() && !useHarmony {
c.JSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("think value %q is not supported for this model", req.Think.AsString())})
return
}
var harmonyMessageHandler *HarmonyMessageHandler
var harmonyToolParser *HarmonyToolCallAccumulator
if useHarmony {
harmonyMessageHandler = NewHarmonyMessageHandler()
var lastMessage *api.Message
if len(msgs) > 0 {
lastMessage = &msgs[len(msgs)-1]
}
harmonyMessageHandler.harmonyParser.AddImplicitStartOrPrefill(lastMessage)
harmonyToolParser = harmonyMessageHandler.CreateToolParser()
}
var thinkingState *thinking.Parser
openingTag, closingTag := thinking.InferTags(m.Template.Template)
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if req.Think != nil && req.Think.AsBool() && openingTag != "" && closingTag != "" {
thinkingState = &thinking.Parser{
2025-06-06 01:22:32 +08:00
OpeningTag: openingTag,
ClosingTag: closingTag,
}
}
var toolParser *tools.Parser
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if len(req.Tools) > 0 && !useHarmony {
toolParser = tools.NewParser(m.Template.Template, req.Tools)
}
2023-12-06 03:57:33 +08:00
ch := make(chan any)
go func() {
defer close(ch)
if err := r.Completion(c.Request.Context(), llm.CompletionRequest{
2024-06-18 01:38:55 +08:00
Prompt: prompt,
Images: images,
Format: req.Format,
Options: opts,
2024-06-18 01:38:55 +08:00
}, func(r llm.CompletionResponse) {
res := api.ChatResponse{
Model: req.Model,
CreatedAt: time.Now().UTC(),
Message: api.Message{Role: "assistant", Content: r.Content},
Done: r.Done,
2023-12-06 03:57:33 +08:00
Metrics: api.Metrics{
PromptEvalCount: r.PromptEvalCount,
PromptEvalDuration: r.PromptEvalDuration,
EvalCount: r.EvalCount,
EvalDuration: r.EvalDuration,
},
}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
if r.Done {
res.DoneReason = r.DoneReason.String()
res.TotalDuration = time.Since(checkpointStart)
res.LoadDuration = checkpointLoaded.Sub(checkpointStart)
}
if useHarmony {
content, thinking, toolContent := harmonyMessageHandler.AddContent(r.Content, harmonyToolParser)
res.Message.Content = content
res.Message.Thinking = thinking
harmonyToolParser.Add(toolContent)
if r.Done {
toolName, toolContent := harmonyToolParser.Drain()
if toolName != nil {
*toolName = strings.TrimPrefix(*toolName, "functions.")
var args api.ToolCallFunctionArguments
if err := json.Unmarshal([]byte(toolContent), &args); err != nil {
errStr := fmt.Sprintf("error parsing tool call: raw='%s', err=%s", toolContent, err.Error())
ch <- gin.H{"error": errStr}
gpt-oss (#11672) * bf16 * tests * gpt-oss * enable gptoss for engine * rough estimate * convert to mxfp4 * handle safetensors U8 * clamp glu/linear * update tokenizer * MXFP4 support This implements the Open Compute Microscaling (MX) FP4 format as a tensor type with backend implementations focusing on mulmat and mulmatid on CPU, CUDA, and Metal. * Unit tests for MXFP4 support This exercises various operations and shapes on both CPU and GPU (if detected on the system) * cuda graph * unit test adjustments * cuda: optimize memory access Read 4 bytes at a time (8 elements) when performing mul_mat_vec_mxfp4 * mac: fix crash on old macos versions cblas_sgemm is only supported on v13.3 and up, however bf16 is only supported on v14+ so we were falling back to ggml-blas and crashing on bf16 tensors. Checking for the function being null seems to be the simplest way to condittionally avoid registering the backend. * server: Minimum context length for gptoss This model requires a minimum context length of 8192 to function effectively. Users can set higher values through all normal mechanisms but lower values will be silently reset. * ggml: Multiply by numParallel for gptoss sliding window When computing the graph size estimate, the context size is already multiplied by numParallel so estimates reflect that. However, since sliding window models use a smaller, fixed context size, they need to manually take numParallel into account. * gpt-oss integration includes harmony parser and thinking levels, etc. * fix sync * fix tests * fix lint --------- Co-authored-by: Daniel Hiltgen <daniel@ollama.com> Co-authored-by: Jesse Gross <jesse@ollama.com> Co-authored-by: Devon Rifkin <drifkin@drifkin.net>
2025-08-06 03:21:16 +08:00
return
}
res.Message.ToolCalls = []api.ToolCall{{Function: api.ToolCallFunction{Name: *toolName, Arguments: args}}}
}
}
// only send messages with meaningful content (empty messages confuse clients)
if res.Message.Content != "" || res.Message.Thinking != "" || len(res.Message.ToolCalls) > 0 || res.Done {
ch <- res
}
return
}
if thinkingState != nil {
2025-06-06 01:22:32 +08:00
thinkingContent, remainingContent := thinkingState.AddContent(res.Message.Content)
if thinkingContent == "" && remainingContent == "" && !r.Done {
// need to accumulate more to decide what to send
return
}
res.Message.Content = remainingContent
res.Message.Thinking = thinkingContent
}
if len(req.Tools) > 0 {
toolCalls, content := toolParser.Add(res.Message.Content)
if len(content) > 0 {
res.Message.Content = content
} else if len(toolCalls) > 0 {
res.Message.ToolCalls = toolCalls
res.Message.Content = ""
} else if res.Message.Thinking != "" {
// don't return
} else {
if r.Done {
res.Message.Content = toolParser.Content()
ch <- res
}
return
2024-11-28 05:40:57 +08:00
}
}
ch <- res
2024-06-18 01:38:55 +08:00
}); err != nil {
2023-12-06 03:57:33 +08:00
ch <- gin.H{"error": err.Error()}
}
}()
if req.Stream != nil && !*req.Stream {
2024-06-21 04:45:47 +08:00
var resp api.ChatResponse
var toolCalls []api.ToolCall
var sbThinking strings.Builder
var sbContent strings.Builder
2024-06-18 01:38:55 +08:00
for rr := range ch {
switch t := rr.(type) {
case api.ChatResponse:
sbThinking.WriteString(t.Message.Thinking)
sbContent.WriteString(t.Message.Content)
2024-06-21 04:45:47 +08:00
resp = t
if len(req.Tools) > 0 {
toolCalls = append(toolCalls, t.Message.ToolCalls...)
}
case gin.H:
2024-06-18 01:38:55 +08:00
msg, ok := t["error"].(string)
if !ok {
msg = "unexpected error format in response"
}
2024-06-18 01:38:55 +08:00
c.JSON(http.StatusInternalServerError, gin.H{"error": msg})
return
default:
2024-06-18 01:38:55 +08:00
c.JSON(http.StatusInternalServerError, gin.H{"error": "unexpected response"})
return
2023-12-06 03:57:33 +08:00
}
}
resp.Message.Content = sbContent.String()
resp.Message.Thinking = sbThinking.String()
if len(toolCalls) > 0 {
resp.Message.ToolCalls = toolCalls
2024-06-21 04:45:47 +08:00
}
c.JSON(http.StatusOK, resp)
2023-12-06 03:57:33 +08:00
return
}
streamResponse(c, ch)
}
2024-06-21 02:00:08 +08:00
func handleScheduleError(c *gin.Context, name string, err error) {
2024-06-18 01:38:55 +08:00
switch {
case errors.Is(err, errCapabilities), errors.Is(err, errRequired):
2024-06-21 02:00:08 +08:00
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
2024-06-18 01:38:55 +08:00
case errors.Is(err, context.Canceled):
c.JSON(499, gin.H{"error": "request canceled"})
2024-06-18 01:38:55 +08:00
case errors.Is(err, ErrMaxQueue):
c.JSON(http.StatusServiceUnavailable, gin.H{"error": err.Error()})
2024-06-21 02:00:08 +08:00
case errors.Is(err, os.ErrNotExist):
c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model %q not found, try pulling it first", name)})
2024-06-18 01:38:55 +08:00
default:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
}
}
func filterThinkTags(msgs []api.Message, m *Model) []api.Message {
if m.Config.ModelFamily == "qwen3" || model.ParseName(m.Name).Model == "deepseek-r1" {
finalUserIndex := -1
for i, msg := range msgs {
if msg.Role == "user" {
finalUserIndex = i
}
}
for i, msg := range msgs {
if msg.Role == "assistant" && i < finalUserIndex {
// TODO(drifkin): this is from before we added proper thinking support.
// However, even if thinking is not enabled (and therefore we shouldn't
// change the user output), we should probably perform this filtering
// for all thinking models (not just qwen3 & deepseek-r1) since it tends
// to save tokens and improve quality.
thinkingState := &thinking.Parser{
2025-06-06 01:22:32 +08:00
OpeningTag: "<think>",
ClosingTag: "</think>",
}
2025-06-06 01:22:32 +08:00
_, content := thinkingState.AddContent(msg.Content)
msgs[i].Content = content
}
}
}
return msgs
}