Commit Graph

10 Commits

Author SHA1 Message Date
Michael Yang 3f6642f6fc
model: implement bert in ollama engine (#9080)
* fix truncate

* s/SentencePieceModel/SentencePiece/

* bert

* wordpiece

* refactor pooling

* more tokenizers

* normalize embeddings
2025-09-15 15:35:59 -07:00
Michael Yang fa7776fd24
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>
2025-08-05 12:21:16 -07:00
Michael Yang 73b642e6f3
add new gemma model (#11204)
* update patches

* cherry pick metal mean kernel

* cherry pick cuda mean kernel

* gemma3n
2025-06-25 21:47:09 -07:00
Michael Yang c890011322
feat: port qwen2 model (#10782) 2025-05-21 10:21:24 -07:00
Michael Yang e0ed984cde
feat: qwen3 dense and sparse models (#10708)
* feat: qwen3 dense
* feat: qwen3moe
* fix llama4 moe
2025-05-21 10:21:07 -07:00
Bruce MacDonald 0aa8b371dd
model: add Qwen2.5-VL support (#10385) 2025-05-13 20:58:02 -07:00
Michael Yang f0c66e6dea llama4 2025-04-25 16:59:20 -07:00
Bruce MacDonald 6bd0a983cd model: support for mistral-small in the ollama runner
Mistral is a popular research lab making open source models. This updates
the forward pass of llama architecture models to support both llama models
and mistral models by accounting for additional metadata present in mistral
models, and finding the correct dimensions for the output projection.
2025-04-03 16:57:36 -07:00
Patrick Devine 5f74d1fd47 gemma2 impl 2025-03-11 14:35:08 -07:00
Jesse Gross 6945617af5 models: Move model into their own directory
This allows there to be a file that is a list of models that is
not mixed into the runner code.
2025-02-13 17:09:26 -08:00