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feat(memory): use QAT embedding model as default

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Switch default local embedding model from embeddinggemma-300M to
embeddinggemma-300m-qat (Quantization Aware Training variant).

QAT models are trained with quantization in mind, which typically
yields better quality embeddings compared to post-training quantization.
This commit is contained in:
Azade 🐐 2026-01-30 16:06:27 +00:00
parent 09be5d45d5
commit b3df311be7
1 changed files with 2 additions and 1 deletions
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3
src/memory/embeddings.ts
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@ -43,7 +43,8 @@ export type EmbeddingProviderOptions = {
}; };
}; };
const DEFAULT_LOCAL_MODEL = "hf:ggml-org/embeddinggemma-300M-GGUF/embeddinggemma-300M-Q8_0.gguf"; const DEFAULT_LOCAL_MODEL =
"hf:ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/embeddinggemma-300m-qat-Q8_0.gguf";
function canAutoSelectLocal(options: EmbeddingProviderOptions): boolean { function canAutoSelectLocal(options: EmbeddingProviderOptions): boolean {
const modelPath = options.local?.modelPath?.trim(); const modelPath = options.local?.modelPath?.trim();