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load finetunes & local models #2

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load finetunes & local models #2

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8a16bfe
load finetunes and local models
xhedit Jan 13, 2024
0782bfe
load finetunes and local models
xhedit Jan 13, 2024
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5 changes: 3 additions & 2 deletions mamba_generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@


parser = argparse.ArgumentParser(description="Text Generation")
parser.add_argument("--model-name", type=str, default="state-spaces/mamba-130m")
parser.add_argument("--model-name", type=str, default="jondurbin/bagel-dpo-2.8b-v0.2")
parser.add_argument("--prompt", type=str, default=None)
parser.add_argument("--promptlen", type=int, default=100)
parser.add_argument("--genlen", type=int, default=100)
Expand All @@ -30,7 +30,8 @@
dtype = torch.float32

print(f"Loading model {args.model_name}")
is_mamba = args.model_name.startswith("state-spaces/mamba-")
is_mamba = args.model_name.startswith("state-spaces/mamba-") or "mamba" in args.model_name.lower() or args.model_name.startswith("jondurbin/bagel-dpo-2.8b-v0.2")
is_mamba = True
if is_mamba:
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
model = MambaLMHeadModel.from_pretrained(args.model_name, device=device, dtype=dtype)
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8 changes: 7 additions & 1 deletion mamba_ssm/models/mixer_seq_simple.py
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Expand Up @@ -3,6 +3,7 @@
import math
from functools import partial
import os
import json

from collections import namedtuple

Expand Down Expand Up @@ -171,7 +172,12 @@ def forward(self, input_ids, position_ids=None, inference_params=None, num_last_

@classmethod
def from_pretrained(cls, pretrained_model_name, device=None, dtype=None, **kwargs):
config_data = load_config_hf(pretrained_model_name)
if os.path.exists(pretrained_model_name):
config = os.path.join(pretrained_model_name, "config.json")
print(f"Loading config: {config}")
config_data = json.load(open(config))
else:
config_data = load_config_hf(pretrained_model_name)
config = MambaConfig(**config_data)
model = cls(config, device=device, dtype=dtype, **kwargs)
model.load_state_dict(load_state_dict_hf(pretrained_model_name, device=device, dtype=dtype))
Expand Down