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add transformers gptq weights #52

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merged 1 commit into from
Nov 22, 2023
Merged

add transformers gptq weights #52

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36 changes: 31 additions & 5 deletions server/lorax_server/utils/weights.py
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Original file line number Diff line number Diff line change
Expand Up @@ -242,14 +242,40 @@ def _get_gptq_params(self) -> Tuple[int, int]:
return bits, groupsize

def _set_gptq_params(self, model_id):
filename = "config.json"
try:
filename = hf_hub_download(model_id, filename="quantize_config.json")
if os.path.exists(os.path.join(model_id, filename)):
filename = os.path.join(model_id, filename)
else:
filename = hf_hub_download(model_id, filename=filename)
with open(filename, "r") as f:
data = json.load(f)
self.gptq_bits = data["bits"]
self.gptq_groupsize = data["group_size"]
self.gptq_bits = data["quantization_config"]["bits"]
self.gptq_groupsize = data["quantization_config"]["group_size"]
except Exception:
pass
filename = "quantize_config.json"
try:
if os.path.exists(os.path.join(model_id, filename)):
filename = os.path.join(model_id, filename)
else:
filename = hf_hub_download(model_id, filename=filename)
with open(filename, "r") as f:
data = json.load(f)
self.gptq_bits = data["bits"]
self.gptq_groupsize = data["group_size"]
except Exception:
filename = "quant_config.json"
try:
if os.path.exists(os.path.join(model_id, filename)):
filename = os.path.join(model_id, filename)
else:
filename = hf_hub_download(model_id, filename=filename)
with open(filename, "r") as f:
data = json.load(f)
self.gptq_bits = data["w_bit"]
self.gptq_groupsize = data["q_group_size"]
except Exception:
pass

def get_start_stop_idxs_for_rank(size, rank, world_size):
block_size = size // world_size
Expand All @@ -272,4 +298,4 @@ def shard_on_dim(t: torch.Tensor, dim: int, process_group: torch.distributed.Pro
else:
raise NotImplementedError("Let's make that generic when needed")

return tensor
return tensor
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