OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k
OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k is a 1 billion parameter multilingual chat model developed by OpenBuddy, built upon Meta's Llama-3.2-1B-Instruct base. It is specifically designed for chat applications in both English and Chinese, leveraging a unique prompt format for optimal interaction. This model offers a compact solution for conversational AI, focusing on helpful, respectful, and honest responses while adhering to safety guidelines.
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OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k Overview
OpenBuddy/openbuddy-llama3.2-1b-v23.1-131k is a 1 billion parameter multilingual chat model developed by the OpenBuddy team. It is built on the Meta Llama-3.2-1B-Instruct base model and is specifically optimized for conversational AI in both English and Chinese. The model utilizes a distinct prompt format, including special tokens like <|role|>, <|says|>, and <|end|>, which are best handled by fast tokenizers from libraries like transformers and vllm.
Key Capabilities
- Multilingual Chat: Designed for effective conversation in English and Chinese.
- Instruction Following: Adheres to a system prompt that guides it to be helpful, respectful, and honest, avoiding harmful or unethical content.
- Optimized Prompt Format: Employs a specific prompt structure for improved chat interaction, compatible with
vllmfor OpenAI-like API deployment. - Compact Size: At 1 billion parameters, it offers a relatively small footprint for deployment while maintaining conversational abilities.
Good for
- Multilingual Chatbots: Ideal for applications requiring conversational AI in English and Chinese.
- Resource-Constrained Environments: Suitable for scenarios where a smaller model size is beneficial for deployment and inference.
- Safe and Ethical AI: Designed to produce socially unbiased and positive responses, adhering to safety guidelines.
- Developers using
vllm: Seamless integration withvllmfor deploying OpenAI-compatible API services due to its definedtokenizer_config.json.