danielm1405/lr-1e-05-epochs-1.0-summ-c37f22a8
This model is an 8 billion parameter language model, fine-tuned by danielm1405 from the Meta Llama 3.1-8B architecture. It was trained using the TRL framework. This fine-tuned version is designed for general text generation tasks, leveraging the base capabilities of Llama 3.1-8B.
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Overview
This model is a fine-tuned variant of the Meta Llama 3.1-8B base model, developed by danielm1405. It utilizes the TRL (Transformer Reinforcement Learning) library for its training procedure.
Key Capabilities
- General Text Generation: Capable of generating human-like text based on given prompts.
- Instruction Following: Designed to respond to user queries and instructions, as demonstrated by the quick start example.
Training Details
The model was trained using SFT (Supervised Fine-Tuning). The training environment included:
- TRL: 0.24.0
- Transformers: 4.57.1
- Pytorch: 2.6.0+cu124.post3
- Datasets: 4.3.0
- Tokenizers: 0.22.1
Use Cases
This model is suitable for applications requiring a capable 8B parameter language model for various text generation tasks, building upon the robust foundation of Llama 3.1-8B.