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Allow conversion of Llama / Mistral HF models #6144
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77f313e
Allow conversion of Mistral HF models
pcuenca eecaf58
Homogenize Llama, Mistral, Mixtral under the same entry.
pcuenca 876b70d
Fix tokenizer, permute tensors
pcuenca 23ffda0
Merge remote-tracking branch 'origin/master' into mistral-hf-conversion
pcuenca 16ede02
Use sentencepiece tokenizer, or fall back to hfft.
pcuenca 6dba2de
convert-hf : small fix for mypy
cebtenzzre 9bf29e6
convert-hf : fix duplicated block_count
cebtenzzre f33b6c7
convert-hf : add vocab size to metadata
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Why not just use:
@Model.register("LlamaForCausalLM", "MistralForCausalLM", "MixtralForCausalLM")
on the existing MixtralModel (call it LlamaModel)? I don't see a point in supporting Mistral in this script without supporting Llama, and these classes are identical so they can be merged.
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Sure, we can do that. I tried to mimic what I saw in the existing entries.
In my opinion, it could be interesting to use different architectures for Mistral (and Mixtral) for informative purposes. If you click on the GGUF information for any Mistral file on the Hugging Face Hub, there's nothing that refers to
mistral
except the filename. But that would also require additional changes, so happy to use the same entry for the three of them!