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--- |
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license: apache-2.0 |
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datasets: |
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- mlabonne/orpo-dpo-mix-40k-flat |
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language: |
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- en |
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base_model: cognitivecomputations/dolphin-2.9.4-llama3.1-8b |
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pipeline_tag: text-generation |
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tags: |
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- dpo |
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- axolotl |
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library_name: transformers |
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--- |
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![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ) |
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# QuantFactory/Lama-DPOlphin-8B-GGUF |
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This is quantized version of [CultriX/Lama-DPOlphin-8B](https://huggingface.co/CultriX/Lama-DPOlphin-8B) created using llama.cpp |
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# Original Model Card |
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## Axolotl configuration: |
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```yaml |
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base_model: cognitivecomputations/dolphin-2.9.4-llama3.1-8b |
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model_type: LlamaForCausalLM |
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tokenizer_type: AutoTokenizer |
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tokenizer: |
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name_or_path: "https://huggingface.co/cognitivecomputations/dolphin-2.9.4-llama3.1-8b/resolve/main/tokenizer.json" |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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save_safetensors: true |
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bnb_4bit_quant_type: "nf4" |
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bnb_4bit_compute_dtype: "bf16" |
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bnb_4bit_use_double_quant: true |
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rl: dpo |
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chat_template: chatml |
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datasets: |
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- path: mlabonne/orpo-dpo-mix-40k-flat |
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split: train |
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type: chatml.intel |
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dataset_prepared_path: /workspace/axolotl/dataset-prepared |
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val_set_size: 0.0 |
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output_dir: ./out |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 2048 |
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sample_packing: false |
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pad_to_sequence_len: false |
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lora_r: 64 |
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lora_alpha: 32 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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lora_target_modules: |
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wandb_project: axolotl |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 # Reduced from 8 to 4 due to large VRAM |
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micro_batch_size: 2 # Increased micro-batch size to 2 |
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num_epochs: 1 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 5e-6 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: true # Use bf16 as it is optimal for A40 GPUs |
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fp16: false |
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tf32: true # TF32 is supported by A40 and improves performance |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 100 |
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evals_per_epoch: 0 |
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eval_table_size: |
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eval_table_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: deepspeed_configs/zero2.json # Enable DeepSpeed with ZeRO Stage 2 |
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weight_decay: 0.0 |
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special_tokens: |
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pad_token: <|end_of_text|> |
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``` |
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