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convert.py : Get rope scale from HuggingFace models #2772

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merged 4 commits into from
Aug 25, 2023
Merged

convert.py : Get rope scale from HuggingFace models #2772

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8d0d83b
Get rope scale from HF models
pnb Aug 24, 2023
8ac33ce
Save rope scale only for linear scaling
pnb Aug 24, 2023
aa896e7
Rewrite for clarity
pnb Aug 24, 2023
4950b2d
Merge branch 'master' into convert_rope_scale
pnb Aug 25, 2023
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38 changes: 22 additions & 16 deletions convert.py
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Original file line number Diff line number Diff line change
Expand Up @@ -105,6 +105,7 @@ class Params:
f_norm_eps: float

f_rope_freq_base: Optional[float] = None
f_rope_scale: Optional[float] = None

ftype: Optional[GGMLFileType] = None

Expand Down Expand Up @@ -160,13 +161,14 @@ def guessed(model: 'LazyModel') -> 'Params':
def loadHFTransformerJson(model: 'LazyModel', config_path: 'Path') -> 'Params':
config = json.load(open(config_path))

n_vocab = config["vocab_size"]
n_embd = config["hidden_size"]
n_layer = config["num_hidden_layers"]
n_ff = config["intermediate_size"]
n_head = config["num_attention_heads"]
n_head_kv = config["num_key_value_heads"] if "num_key_value_heads" in config else n_head
f_norm_eps = config["rms_norm_eps"]
n_vocab = config["vocab_size"]
n_embd = config["hidden_size"]
n_layer = config["num_hidden_layers"]
n_ff = config["intermediate_size"]
n_head = config["num_attention_heads"]
n_head_kv = config["num_key_value_heads"] if "num_key_value_heads" in config else n_head
f_norm_eps = config["rms_norm_eps"]
f_rope_scale = config.get("rope_scaling", {}).get("factor", None) if config.get("rope_scaling", {}).get("type", "") == "linear" else None
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nit: dict.get returns None as a fallback by default. This would be more readable:

Suggested change
f_rope_scale = config.get("rope_scaling", {}).get("factor", None) if config.get("rope_scaling", {}).get("type", "") == "linear" else None
rope_scaling = config.get("rope_scaling", {})
f_rope_scale = rope_scaling.get("factor") if rope_scaling.get("type") == "linear" else None

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I would be happy with even a couple of plain if statements. But yeah, that one-liner a bit hard to read, anything that improves the readability would be good.

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I was overfitting a bit to the other implementations trying to match the style. I am not a fan of tertiary operators or long lines, so I would also prefer an if/else implementation (tested and committed now).


n_mult = Params.find_n_mult(n_ff, n_embd)

Expand All @@ -179,15 +181,16 @@ def loadHFTransformerJson(model: 'LazyModel', config_path: 'Path') -> 'Params':
"Suggestion: provide 'config.json' of the model in the same directory containing model files.")

return Params(
n_vocab = n_vocab,
n_embd = n_embd,
n_mult = n_mult,
n_layer = n_layer,
n_ctx = n_ctx,
n_ff = n_ff,
n_head = n_head,
n_head_kv = n_head_kv,
f_norm_eps = f_norm_eps,
n_vocab = n_vocab,
n_embd = n_embd,
n_mult = n_mult,
n_layer = n_layer,
n_ctx = n_ctx,
n_ff = n_ff,
n_head = n_head,
n_head_kv = n_head_kv,
f_norm_eps = f_norm_eps,
f_rope_scale = f_rope_scale,
)

# LLaMA v2 70B params.json
Expand Down Expand Up @@ -771,6 +774,9 @@ def add_meta_arch(self, params: Params) -> None:
if params.f_rope_freq_base:
self.gguf.add_rope_freq_base(params.f_rope_freq_base)

if params.f_rope_scale:
self.gguf.add_rope_scale_linear(params.f_rope_scale)

if params.ftype:
self.gguf.add_file_type(params.ftype)

Expand Down