wvnvwn/Mistral-7B-Instruct-v0.3-hhrlhf-spider-v1
wvnvwn/Mistral-7B-Instruct-v0.3-hhrlhf-spider-v1 is a 7 billion parameter instruction-tuned language model, fine-tuned from wvnvwn/Mistral-7B-Instruct-v0.3-hhrlhf-v1. This model leverages the Mistral architecture and has been trained using the TRL framework. It is designed for general text generation tasks, building upon its base model's instruction-following capabilities.
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Model Overview
This model, wvnvwn/Mistral-7B-Instruct-v0.3-hhrlhf-spider-v1, is a 7 billion parameter instruction-tuned language model. It is a fine-tuned variant of wvnvwn/Mistral-7B-Instruct-v0.3-hhrlhf-v1, indicating an optimization for instruction-following tasks.
Key Capabilities
- Instruction Following: The model is specifically fine-tuned for understanding and executing instructions, making it suitable for conversational AI and task-oriented generation.
- Text Generation: It can generate coherent and contextually relevant text based on given prompts.
- TRL Framework: The training process utilized the TRL (Transformers Reinforcement Learning) framework, suggesting potential enhancements in alignment and response quality.
Training Details
The model was trained using Supervised Fine-Tuning (SFT) with the TRL framework. The specific versions of libraries used during training include TRL 1.4.0, Transformers 4.57.1, Pytorch 2.11.0, Datasets 4.8.5, and Tokenizers 0.22.2.
Good For
- Developing chatbots or conversational agents that require instruction adherence.
- General text generation tasks where a fine-tuned instruction model is beneficial.
- Applications requiring a Mistral-based model with enhanced instruction-following capabilities.