CharlesLi/llama_2_sky_safe_o1_llama_3_70B_default_1000_1000_full
The CharlesLi/llama_2_sky_safe_o1_llama_3_70B_default_1000_1000_full model is a 7 billion parameter language model fine-tuned from Meta's Llama-2-7b-chat-hf. This model is specifically fine-tuned on a generator dataset, indicating its optimization for text generation tasks. It is designed for applications requiring robust conversational AI or creative text output, building upon the Llama 2 architecture.
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Model Overview
This model, llama_2_sky_safe_o1_llama_3_70B_default_1000_1000_full, is a fine-tuned variant of the Meta Llama-2-7b-chat-hf base model. It features 7 billion parameters and has a context length of 4096 tokens. The fine-tuning process focused on a "generator dataset," suggesting its primary strength lies in text generation capabilities.
Training Details
The model was trained with the following key hyperparameters:
- Learning Rate: 2e-05
- Batch Size: 4 (train), 4 (eval)
- Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
- Epochs: 1
- Distributed Training: Multi-GPU setup with 4 devices and 2 gradient accumulation steps, resulting in a total train batch size of 32.
Potential Use Cases
Given its fine-tuning on a generator dataset, this model is likely suitable for:
- Text Generation: Creating coherent and contextually relevant text.
- Conversational AI: Developing chatbots or dialogue systems based on its Llama-2-chat foundation.
- Content Creation: Assisting with drafting articles, summaries, or creative writing pieces.