Tobievii/TobyChat13Bv13
TobyChat13Bv13 is a 13 billion parameter auto-regressive language model developed by Tobievii, fine-tuned from the LLaMA architecture. It is a chat assistant model, specifically optimized for conversational tasks. This model is primarily intended for research and hobbyist use in natural language processing and artificial intelligence, focusing on chat-based applications.
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Model Overview
TobyChat13Bv13 is a 13 billion parameter chat assistant model, developed by Tobievii, based on the LLaMA architecture. It has been fine-tuned using supervised instruction fine-tuning on approximately 140,000 user-shared conversations collected from ShareGPT.com. This model is designed for research purposes in large language models and chatbots, targeting researchers and hobbyists in NLP and AI.
Key Capabilities
- Chat Assistant: Optimized for engaging in conversational interactions.
- Instruction Following: Benefits from supervised instruction fine-tuning for better adherence to prompts.
- Research Tool: Primarily intended for academic and experimental exploration of LLMs.
Training Details
The model's training involved fine-tuning the LLaMA base model with a substantial dataset of real-world conversations. Further details on the training methodology and evaluation can be found in the associated paper by LMSYS, which developed the original Vicuna model this version is based on.
Intended Use Cases
- LLM Research: Ideal for experiments and studies on conversational AI.
- Chatbot Development: Suitable for hobbyist projects and prototypes requiring a chat interface.
- Natural Language Processing: Useful for exploring various NLP tasks within a conversational context.