gguf : add ftype meta info to the model (#2710)
* llama : add ftype meta info to the model ggml-ci * convert.py : add ftype when converting (does not work) * convert.py : fix Enum to IntEnum ggml-ci
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4 changed files with 47 additions and 9 deletions
29
convert.py
29
convert.py
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@ -69,7 +69,10 @@ SAFETENSORS_DATA_TYPES: Dict[str, DataType] = {
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'I32': DT_I32,
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}
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class GGMLFileType(enum.Enum):
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# TODO: match this with `llama_ftype`
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# TODO: rename to LLAMAFileType
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# TODO: move to `gguf.py`
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class GGMLFileType(enum.IntEnum):
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AllF32 = 0
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MostlyF16 = 1 # except 1d tensors
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@ -101,6 +104,8 @@ class Params:
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n_head_kv: int
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f_norm_eps: float
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ftype: Optional[GGMLFileType] = None
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@staticmethod
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def find_n_mult(n_ff: int, n_embd: int) -> int:
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# hardcoded magic range
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@ -738,6 +743,9 @@ class OutputFile:
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self.gguf.add_head_count_kv (params.n_head_kv)
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self.gguf.add_layer_norm_rms_eps (params.f_norm_eps)
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if params.ftype:
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self.gguf.add_file_type(params.ftype)
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def add_meta_vocab(self, vocab: Vocab) -> None:
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tokens = []
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scores = []
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@ -1020,6 +1028,12 @@ def main(args_in: Optional[List[str]] = None) -> None:
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" - LLaMA v2: --ctx 4096\n")
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params.n_ctx = args.ctx
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if args.outtype:
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params.ftype = {
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"f32": GGMLFileType.AllF32,
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"f16": GGMLFileType.MostlyF16,
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}[args.outtype]
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print(f"params = {params}")
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vocab: Vocab
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@ -1040,11 +1054,14 @@ def main(args_in: Optional[List[str]] = None) -> None:
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vocab_dir = args.vocab_dir if args.vocab_dir else model_plus.paths[0].parent
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vocab = load_vocab(vocab_dir, args.vocabtype)
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model = model_plus.model
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model = convert_model_names(model, params)
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output_type = pick_output_type(model, args.outtype)
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model = convert_to_output_type(model, output_type)
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outfile = args.outfile or default_outfile(model_plus.paths, output_type)
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model = model_plus.model
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model = convert_model_names(model, params)
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ftype = pick_output_type(model, args.outtype)
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model = convert_to_output_type(model, ftype)
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outfile = args.outfile or default_outfile(model_plus.paths, ftype)
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params.ftype = ftype
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print(f"Writing {outfile}, format {ftype}")
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OutputFile.write_all(outfile, params, model, vocab)
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print(f"Wrote {outfile}")
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