lunan0320/llama2
The lunan0320/llama2 model is a 7 billion parameter Llama 2-based generative text model, specifically the chat-optimized version, converted to the Hugging Face Transformers format. Developed by Mirage-Studio.io, it utilizes an optimized transformer architecture with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) for dialogue use cases. This model is primarily intended for commercial and research applications in English, excelling at assistant-like chat interactions.
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Overview
lunan0320/llama2 is a 7 billion parameter generative text model, specifically the chat-optimized version of Llama 2, converted into the Hugging Face Transformers format. This model was provided by Mirage-Studio.io. It is an auto-regressive language model built on an optimized transformer architecture. The tuned versions, like this one, incorporate supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to enhance helpfulness and safety, aligning with human preferences.
Key Capabilities
- Dialogue Optimization: Fine-tuned specifically for chat and assistant-like dialogue use cases.
- Text Generation: Capable of generating human-like text outputs.
- Hugging Face Compatibility: Provided in a readily usable format for the Hugging Face Transformers library.
- English Language Focus: Intended for commercial and research applications primarily in English.
Intended Use Cases
This model is designed for commercial and research use, particularly for assistant-like chat applications. To achieve optimal performance and features, users must adhere to a specific formatting for inputs, including INST and <<SYS>> tags, BOS/EOS tokens, and proper whitespace handling. Pretrained versions of Llama 2 can be adapted for various natural language generation tasks, but this specific model is optimized for dialogue.