Model Overview

The CharlesLi/llama_2_sky_o1_0_full is a 7 billion parameter language model derived from Meta's Llama-2-7b-chat-hf architecture. This model has undergone specific fine-tuning on a generator dataset, suggesting its primary utility in text generation applications.

Key Characteristics

• Base Model: Fine-tuned from meta-llama/Llama-2-7b-chat-hf.
• Parameter Count: 7 billion parameters.
• Context Length: Supports a context window of 4096 tokens.
• Training Objective: Fine-tuned on a generator dataset, indicating a focus on text generation capabilities.
• Training Loss: Achieved a loss of 0.7307 on the evaluation set.

Training Details

The model was trained with a learning rate of 2e-05, a batch size of 32 (total, with gradient accumulation), and utilized an Adam optimizer. The training process involved 1 epoch with a cosine learning rate scheduler and a warmup ratio of 0.1.

Potential Use Cases

Given its fine-tuning on a generator dataset, this model is likely well-suited for tasks such as:

• Content creation and text generation.
• Creative writing and story generation.
• Dialogue generation or conversational AI components.

Further details on specific intended uses and limitations are not provided in the original model card.