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llama2-qlora-med-jinyong
conghao/llama2-qlora-med-jinyong
llama2-qlora-med-jinyong is a machine learning model from conghao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - loadin8bit: True - loadin4bit: False - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffload: False - llmint8hasfp16w…
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Repo size
16.8 MB
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2
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.bin16.8 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- Sep 14, 2023
- Updated
- Sep 15, 2023
- SHA
- 73293bba
Model card
From the Hugging Face model README
Training procedure
The following bitsandbytes quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
The following bitsandbytes quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Framework versions
-
PEFT 0.4.0
-
PEFT 0.4.0
Instruction
Instruction: 我睡眠不足，很头痛
Output
少侠保重身体。江湖人称我为医仙，今日得闻君有头痛之症，实非善兆。睡眠不足，乃是身体之不适，需慎之又慎。头痛之症，或许源自于血液循环不畅，或许源于神经压力过大。当务之急，当调整生活习惯，保持良好的睡眠规律，避免过度劳累。此外，可尝试调整饮食，避免辛辣刺激之物，以免加重头痛之苦。如君仍遭此病痛，可寻求名医良药，以求解忧。</s>
可以发现，模型的回答已经学习到金庸创作风格的能力。
- Library
- peft
- Created
- Sep 14, 2023
- Updated
- Sep 15, 2023