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model: support for mistral-small in the ollama runner

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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.
This commit is contained in:
Bruce MacDonald
2025-03-14 16:56:32 -07:00
committed by Michael Yang
parent 1861fbdeb5
commit 6bd0a983cd
27 changed files with 1116 additions and 350 deletions
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7
fs/ggml/ggml.go
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@@ -134,7 +134,10 @@ func (kv KV) Floats(key string, defaultValue ...[]float32) []float32 {
}
func (kv KV) OllamaEngineRequired() bool {
return kv.Architecture() == "gemma3"
return slices.Contains([]string{
"gemma3",
"mistral3",
}, kv.Architecture())
}
func keyValue[T string | uint32 | uint64 | float32 | *array | bool](kv KV, key string, defaultValue ...T) T {
@@ -638,7 +641,7 @@ func (llm GGML) VisionGraphSize() (weights, graphSize uint64) {
embeddingLength*numPatches*maxNumTiles +
9*embeddingLength*numPaddedPatches*maxNumTiles +
numPaddedPatches*maxNumTiles*numPaddedPatches*maxNumTiles*headCount)
case "gemma3":
case "gemma3", "mistral3":
graphSize = 4 * (imageSize*imageSize*numChannels +
embeddingLength*patchSize +
numPatches*numPatches*headCount)