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Improve Mistral models integration with llama.cpp #14737

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Improve Mistral models integration with llama.cpp #14737

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4 changes: 2 additions & 2 deletions convert_hf_to_gguf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,9 +104,9 @@ def __init__(self, dir_model: Path, ftype: gguf.LlamaFileType, fname_out: Path,

def get_remote_tensors() -> Iterator[tuple[str, Tensor]]:
logger.info(f"Using remote model with HuggingFace id: {remote_hf_model_id}")
remote_tensors = gguf.utility.SafetensorRemote.get_list_tensors_hf_model(remote_hf_model_id)
remote_tensors = gguf.utility.SafetensorRemote.get_list_tensors_model(remote_hf_model_id)
self.tensor_names = set(name for name in remote_tensors.keys())
for name, remote_tensor in gguf.utility.SafetensorRemote.get_list_tensors_hf_model(remote_hf_model_id).items():
for name, remote_tensor in gguf.utility.SafetensorRemote.get_list_tensors_model(remote_hf_model_id).items():
yield (name, LazyTorchTensor.from_remote_tensor(remote_tensor))

self.get_tensors = get_remote_tensors
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