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mistral_factcheck_four_bit
wolferobert3/mistral_factcheck_four_bit
mistral_factcheck_four_bit is a machine learning model from wolferobert3. 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.
- Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Informat…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Dec 3, 2023
- Updated
- Dec 3, 2023
- SHA
- e64c3fe9
Base models
Model card
From the Hugging Face model README
Model Card for Model ID
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Model Description
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Uses
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Training Details
Training Data
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Training Procedure
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Training Hyperparameters
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Summary
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Environmental Impact
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Technical Specifications [optional]
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Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- load_in_8bit: False
- load_in_4bit: True
- 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: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
Framework versions
- PEFT 0.6.2
- Library
- peft
- Created
- Dec 3, 2023
- Updated
- Dec 3, 2023