初始化项目，由ModelHub XC社区提供模型

Model: Weyaxi/Neural-una-cybertron-7b
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- Intel/orca_dpo_pairs
+tags:
+- mistral
+- dpo
+- una
+- finetune
+- chatml
+- instruct
+---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/-BlRd-74Hk4B153wl_ryD.png)
+
+# Neural-una-cybertron-7b
+
+Neural-una-cybertron-7b is an [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) model that has been further fine-tuned with Direct Preference Optimization (DPO) using the [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) dataset.
+
+This model was created after examining the procedure of [mlabonne/NeuralHermes-2.5-Mistral-7B](https://hf.co/mlabonne/NeuralHermes-2.5-Mistral-7B) model. Special thanks to [@mlabonne](https://hf.co/mlabonne).
+
+## Addionatal Information 
+
+This model was fine-tuned on `Nvidia A100-SXM4-40GB` GPU.
+
+The total training time was 1 hour and 10 minutes.
+
+# Prompt Template(s)
+
+### ChatML
+
+```
+<|im_start|>system
+{system}<|im_end|>
+<|im_start|>user
+{user}<|im_end|>
+<|im_start|>assistant
+{asistant}<|im_end|>
+```
+
+## Training hyperparameters
+
+**LoRA**:
+* r=16
+* lora_alpha=16
+* lora_dropout=0.05
+* bias="none"
+* task_type="CAUSAL_LM"
+* target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj']
+
+**Training arguments**:
+* per_device_train_batch_size=4
+* gradient_accumulation_steps=4
+* gradient_checkpointing=True
+* learning_rate=5e-5
+* lr_scheduler_type="cosine"
+* max_steps=200
+* optim="paged_adamw_32bit"
+* warmup_steps=100
+
+**DPOTrainer**:
+* beta=0.1
+* max_prompt_length=1024
+* max_length=1536