Question Answering
Transformers
Chinese
chat
llm
llama2
chatgpt
Inference Endpoints
Baicai003 commited on
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README.md CHANGED
@@ -1,3 +1,20 @@
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  ---
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- license: openrail
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ library_name: peft
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  ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: True
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+ - bnb_4bit_compute_dtype: float16
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+ ### Framework versions
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+
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+
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+ - PEFT 0.4.0.dev0
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+ "bias": "none",
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+ "inference_mode": true,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.05,
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "target_modules": [
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+ "gate_proj",
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+ "q_proj",
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+ "k_proj",
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+ "o_proj",
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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