| license: apache-2.0 | |
| library_name: peft | |
| tags: | |
| - llama2 | |
| - quantization | |
| - nlp | |
| - transformers | |
| - language-model | |
| - bitsandbytes | |
| - fine-tuned | |
| - causal-lm | |
| datasets: | |
| - timdettmers/openassistant-guanaco | |
| base_model: TinyPixel/Llama-2-7B-bf16-sharded | |
| ## Overview | |
| This model is a fine-tuned model based on the "TinyPixel/Llama-2-7B-bf16-sharded" model and "timdettmers/openassistant-guanaco" dataset. It is optimized for causal language modeling tasks with specific quantization configurations. The model is trained using the PEFT framework and leverages the `bitsandbytes` quantization method. | |
| ## Training Procedure | |
| The following `bitsandbytes` quantization config was used during training: | |
| - quant_method: bitsandbytes | |
| - 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: False | |
| - bnb_4bit_compute_dtype: float16 | |
| ### Framework Versions | |
| The model was trained using PEFT version 0.6.0.dev0. |