next ollama runner (#7913)

feat: add new Ollama engine using ggml through cgo

This change introduces a new way to run pretrained models. It introduces 3 high level interfaces and a bunch of smaller helper interfaces to facilitate this.

- `model.Model` defines the interface for a model architecture. Models such as `llama` and `mllama`, which are provided as examples, can implement the model's forward propagation in the `Forward` method. This method will be called to generate completions. This interface can be found in `model/model.go`
- `ml.Backend` defines the interface for a backend tensor library, in this case `ggml`. Among other things, a Backend is responsible for loading a pretrained model into hardware (GPU, CPU, etc) and providing an interface for Models to access loaded tensors. This interface can be found in `ml/backend.go`
- `ml.Tensor` defines the interface for a tensor and tensor operations

This is the first implementation of the new engine. Follow up PRs will implement more features:

- non-greedy sampling (#8410)
- integration with Ollama and KV caching (#8301)
- more model support (#9080) with more coming soon

Co-authored-by: Bruce MacDonald <brucewmacdonald@gmail.com>
This commit is contained in:
Michael Yang 2025-02-14 00:31:21 +00:00 committed by GitHub
parent 8cf16063a5
commit 58245413f4
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
57 changed files with 475427 additions and 494 deletions

View file

@ -19,7 +19,7 @@ import (
"golang.org/x/text/encoding/unicode"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/fs/ggml"
)
func TestParseFileFile(t *testing.T) {
@ -769,7 +769,7 @@ func getSHA256Digest(t *testing.T, r io.Reader) (string, int64) {
return fmt.Sprintf("sha256:%x", h.Sum(nil)), n
}
func createBinFile(t *testing.T, kv map[string]any, ti []llm.Tensor) (string, string) {
func createBinFile(t *testing.T, kv map[string]any, ti []ggml.Tensor) (string, string) {
t.Helper()
f, err := os.CreateTemp(t.TempDir(), "testbin.*.gguf")
@ -778,7 +778,7 @@ func createBinFile(t *testing.T, kv map[string]any, ti []llm.Tensor) (string, st
}
defer f.Close()
if err := llm.WriteGGUF(f, kv, ti); err != nil {
if err := ggml.WriteGGUF(f, kv, ti); err != nil {
t.Fatal(err)
}
// Calculate sha256 of file