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--- |
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language: |
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- en |
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license: other |
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library_name: peft |
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datasets: |
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- LDJnr/Puffin |
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- pvduy/rm_hh_helpful_only |
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pipeline_tag: text-generation |
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widget: |
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- text: 'USER: What''s better, farming, or using computers (which suck) |
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ASSISTANT:' |
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base_model: teknium/Puffin-Phi-v2 |
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--- |
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<table> |
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<tr> |
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<td style="width: 30%; text-align: left; vertical-align: middle"> |
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# CurtGPT |
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Using Microsoft's Phi 1.5 model like it was never intended. |
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</td> |
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<td style="text-align: center;"> |
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<img src="https://github.com/tim-a-davis/silly_little_language_modeling_thing_at_utd/blob/main/curtgpt%20logo.png?raw=true" width="300" height="auto"> |
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</td> |
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</tr> |
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</table> |
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# Main Procedure |
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This model is an adapter on [puffin phi v2](https://huggingface.co/teknium/Puffin-Phi-v2) trained using [QLoRA](https://arxiv.org/pdf/2305.14314.pdf) and [DPO](https://arxiv.org/pdf/2305.18290.pdf) on 60,000 samples from the [anthropic helpful only](https://huggingface.co/datasets/pvduy/rm_hh_helpful_only) dataset. |
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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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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: bitsandbytes |
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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: False |
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- bnb_4bit_compute_dtype: float16 |
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### Framework versions |
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- PEFT 0.5.0 |
