🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/models/llama/convert_llama_weights_to_hf.py at main · huggingface/transformers
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Vocab: TypeAlias = "BpeVocab | SentencePieceVocab | HfVocab" # # data loading # TODO: reuse (probably move to gguf.py?) # def permute(weights: NDArray, n_head: int, n_head_kv: int) -> NDArray: # print( "permute debug " + str(weights.shape[0]) + " x " + str(weig...
load(input_model, map_location="cpu", weights_only=True) # load LoRA config with open(lora_config, "r") as f: lparams: dict[str, Any] = json.load(f) # load base model if dir_base_model is None: if "base_model_name_or_path" in lparams: model_id = lparams["...
Nomic Vulkan Fork of LLaMa.cpp. Contribute to nomic-ai/llama.cpp development by creating an account on GitHub.
LLM inference in C/C++. Contribute to rsoika/llama.cpp development by creating an account on GitHub.
CMakePresets.json LICENSE Makefile Package.swift README-sycl.md README.md SECURITY.md build.zig codecov.yml convert-hf-to-gguf-update.py convert-hf-to-gguf.py convert-llama-ggml-to-gguf.py convert.py flake.lock flake.nix ggml-alloc.c ggml-alloc.h ggml-backend-impl.h ggml-backen...
lora_model = torch.load(input_model, map_location="cpu", weights_only=True)# load LoRA config with open(lora_config, "r") as f: lparams: dict[str, Any] = json.load(f)# load base model logger.info(f"Loading base model: {dir_base_model.name}") ...
python convert.py --hf-path meta-llama/Llama-2-70b-chat-hf -q --mlx-path ./ But I recieved an error. This is my trace: INFO] Loading config.json: 100%|██████████████████████████████████████████████████████████...
convert : fix Baichuan2 models by using vocab size in config.json (gg… Browse files …erganov#3299) Use local GGUF package when possible in Baichuan converter master (ggerganov/llama.cpp#3299) KerfuffleV2 authored Oct 4, 2023 1 parent beabc8c commit 019ba1d ...