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

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Aug 25, 2023
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10 changes: 10 additions & 0 deletions convert.py
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 @@ -169,6 +170,11 @@ def loadHFTransformerJson(model: 'LazyModel', config_path: 'Path') -> 'Params':
f_norm_eps = config["rms_norm_eps"]
f_rope_freq_base = config["rope_theta"] if "rope_theta" in config else None

if "rope_scaling" in config and config["rope_scaling"].get("type") == "linear":
f_rope_scale = config["rope_scaling"].get("factor")
else:
f_rope_scale = None

n_mult = Params.find_n_mult(n_ff, n_embd)

if "max_sequence_length" in config:
Expand All @@ -190,6 +196,7 @@ def loadHFTransformerJson(model: 'LazyModel', config_path: 'Path') -> 'Params':
n_head_kv = n_head_kv,
f_norm_eps = f_norm_eps,
f_rope_freq_base = f_rope_freq_base,
f_rope_scale = f_rope_scale,
)

# LLaMA v2 70B params.json
Expand Down Expand Up @@ -773,6 +780,9 @@ 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