mirror of
https://github.com/ggerganov/llama.cpp.git
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f98eb31c51
* convert-hf : begin refactoring write_tensor * convert : upgrade to sentencepiece v0.2.0 * convert-hf : remove unused n_dims in extra_*_tensors * convert-hf : simplify MoE weights stacking * convert-hf : flake8 linter doesn't like semicolons * convert-hf : allow unusual model part names For example, loading `model-00001-of-00001.safetensors` now works. * convert-hf : fix stacking MoE expert tensors `torch.stack` and `torch.cat` don't do the same thing. * convert-hf : fix Mamba conversion Tested to work even with a SentencePiece-based tokenizer. * convert : use a string for the SentencePiece tokenizer path * convert-hf : display tensor shape * convert-hf : convert norms to f32 by default * convert-hf : sort model part names `os.listdir` is said to list files in arbitrary order. Sorting the file names should let "model-00009-of-00042.safetensors" be loaded before "model-00010-of-00042.safetensors". * convert-hf : use an ABC for Model again It seems Protocol can't be used as a statically type-checked ABC, because its subclasses also can't be instantiated. (why did it seem to work?) At least there's still a way to throw an error when forgetting to define the `model_arch` property of any registered Model subclasses. * convert-hf : use a plain class for Model, and forbid direct instantiation There are no abstract methods used anyway, so using ABC isn't really necessary. * convert-hf : more consistent formatting of cmdline args * convert-hf : align the message logged for converted tensors * convert-hf : fix Refact conversion * convert-hf : save memory with lazy evaluation * convert-hf : flake8 doesn't like lowercase L as a variable name * convert-hf : remove einops requirement for InternLM2 * convert-hf : faster model parts loading Instead of pre-loading them all into a dict, iterate on the tensors in the model parts progressively as needed in Model.write_tensors Conversion for some architectures relies on checking for the presence of specific tensor names, so for multi-part models, the weight map is read from the relevant json file to quickly get these names up-front. * convert-hf : minor changes for consistency * gguf-py : add tqdm as a dependency It's small, and used for a progress bar in GGUFWriter.write_tensors_to_file |
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| .. | ||
| baby-llama | ||
| batched | ||
| batched-bench | ||
| batched.swift | ||
| beam-search | ||
| benchmark | ||
| convert-llama2c-to-ggml | ||
| embedding | ||
| eval-callback | ||
| export-lora | ||
| finetune | ||
| gbnf-validator | ||
| gguf | ||
| gguf-split | ||
| gritlm | ||
| imatrix | ||
| infill | ||
| jeopardy | ||
| llama-bench | ||
| llama.android | ||
| llama.swiftui | ||
| llava | ||
| lookahead | ||
| lookup | ||
| main | ||
| main-cmake-pkg | ||
| parallel | ||
| passkey | ||
| perplexity | ||
| quantize | ||
| quantize-stats | ||
| retrieval | ||
| save-load-state | ||
| server | ||
| simple | ||
| speculative | ||
| sycl | ||
| tokenize | ||
| train-text-from-scratch | ||
| alpaca.sh | ||
| base-translate.sh | ||
| chat-13B.bat | ||
| chat-13B.sh | ||
| chat-persistent.sh | ||
| chat-vicuna.sh | ||
| chat.sh | ||
| CMakeLists.txt | ||
| gpt4all.sh | ||
| json_schema_to_grammar.py | ||
| json-schema-pydantic-example.py | ||
| llama2-13b.sh | ||
| llama2.sh | ||
| llama.vim | ||
| llm.vim | ||
| make-ggml.py | ||
| Miku.sh | ||
| pydantic_models_to_grammar.py | ||
| pydantic-models-to-grammar-examples.py | ||
| reason-act.sh | ||
| regex-to-grammar.py | ||
| server-embd.py | ||
| server-llama2-13B.sh | ||
| ts-type-to-grammar.sh | ||