107 lines
2.4 KiB
Markdown
107 lines
2.4 KiB
Markdown
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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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# 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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