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CodeFuse-DeepSeek-33B-4bits

Text Generation
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PyTorch
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text-generation-inference
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codefuse-admin commited on
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Update README.md

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  1. README.md +2 -2
README.md CHANGED
@@ -175,7 +175,7 @@ def load_model_tokenizer(model_path):
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  model = AutoGPTQForCausalLM.from_quantized("codefuse-ai/CodeFuse-DeepSeek-33B-4bits",
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  inject_fused_attention=False,
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  inject_fused_mlp=False,
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- use_safetensors=False,
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  use_cuda_fp16=True,
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  disable_exllama=False,
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  device_map='auto' # Support multi-gpus
@@ -386,7 +386,7 @@ def load_model_tokenizer(model_path):
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  model = AutoGPTQForCausalLM.from_quantized("codefuse-ai/CodeFuse-DeepSeek-33B-4bits",
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  inject_fused_attention=False,
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  inject_fused_mlp=False,
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- use_safetensors=False,
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  use_cuda_fp16=True,
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  disable_exllama=False,
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  device_map='auto' # Support multi-gpus
 
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  model = AutoGPTQForCausalLM.from_quantized("codefuse-ai/CodeFuse-DeepSeek-33B-4bits",
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  inject_fused_attention=False,
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  inject_fused_mlp=False,
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+ use_safetensors=True,
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  use_cuda_fp16=True,
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  disable_exllama=False,
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  device_map='auto' # Support multi-gpus
 
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  model = AutoGPTQForCausalLM.from_quantized("codefuse-ai/CodeFuse-DeepSeek-33B-4bits",
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  inject_fused_attention=False,
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  inject_fused_mlp=False,
389
+ use_safetensors=True,
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  use_cuda_fp16=True,
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  disable_exllama=False,
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  device_map='auto' # Support multi-gpus