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Model: QuantFactory/Lama-DPOlphin-8B-GGUF
Source: Original Platform

README.md

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