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force fp16 for quantized models (#240)

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Awni Hannun 2024-01-05 21:29:15 -08:00 committed by GitHub
parent 37856f70a8
commit cf0ad26a89
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1 changed files with 3 additions and 3 deletions
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llms/hf_llm/convert.py
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@ -154,12 +154,12 @@ if __name__ == "__main__":
print("[INFO] Loading") print("[INFO] Loading")
weights, config, tokenizer = fetch_from_hub(args.hf_path) weights, config, tokenizer = fetch_from_hub(args.hf_path)
dtype = mx.float16 if args.quantize else getattr(mx, args.dtype)
weights = {k: v.astype(dtype) for k, v in weights.items()}
if args.quantize: if args.quantize:
print("[INFO] Quantizing") print("[INFO] Quantizing")
weights, config = quantize(weights, config, args) weights, config = quantize(weights, config, args)
if not args.quantize:
dtype = getattr(mx, args.dtype)
weights = {k: v.astype(dtype) for k, v in weights.items()}
mlx_path = Path(args.mlx_path) mlx_path = Path(args.mlx_path)
mlx_path.mkdir(parents=True, exist_ok=True) mlx_path.mkdir(parents=True, exist_ok=True)