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hub / github.com/Vahe1994/AQLM / get_sequential_groups

Function get_sequential_groups

src/modelutils.py:159–187  ·  view source on GitHub ↗
(model)

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157
158
159def get_sequential_groups(model):
160 if model.config.model_type in LLAMA_LIKE:
161 assert "mixtral" not in model.config.model_type.lower() # check that this is not mixtral
162 return [
163 ["self_attn.k_proj", "self_attn.v_proj", "self_attn.q_proj"],
164 ["self_attn.o_proj"],
165 ["mlp.up_proj", "mlp.gate_proj"],
166 ["mlp.down_proj"],
167 ]
168 elif model.config.model_type.lower() in FALCON_TYPES:
169 return [
170 ["self_attention.query_key_value"],
171 ["self_attention.dense"],
172 ["mlp.dense_h_to_4h"],
173 ["mlp.dense_4h_to_h"],
174 ]
175 elif model.config.model_type == "opt":
176 return [
177 ["self_attn.q_proj"],
178 ["self_attn.k_proj"],
179 ["self_attn.v_proj"],
180 ["self_attn.out_proj"],
181 ["fc1"],
182 ["fc2"],
183 ]
184 elif model.config.model_type == "phi3":
185 return [["self_attn.qkv_proj"], ["self_attn.o_proj"], ["mlp.gate_up_proj"], ["mlp.down_proj"]]
186 else:
187 raise ValueError(MODEL_ERROR_MSG.format(model.config.model_type))
188
189
190def read_quant_weight_from_file(load_path, block_i, layer_name, device):

Callers 1

quantize_aqFunction · 0.90

Calls

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