huanhkv/llama-2-7b-instruction-tuning_full
The huanhkv/llama-2-7b-instruction-tuning_full model is a 7 billion parameter instruction-tuned language model based on NousResearch/Llama-2-7b-chat-hf, designed for conversational AI. It has a context length of 4096 tokens and is specifically fine-tuned to generate appropriate responses to instructions. This model demonstrates proficiency in understanding and responding to prompts in Vietnamese, as evidenced by its evaluation prompts.
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Model Overview
The huanhkv/llama-2-7b-instruction-tuning_full is a 7 billion parameter instruction-tuned language model built upon the NousResearch/Llama-2-7b-chat-hf base model. It is designed to follow instructions and generate relevant responses, making it suitable for various conversational AI applications.
Key Capabilities
- Instruction Following: The model is fine-tuned to understand and execute instructions provided in natural language.
- Vietnamese Language Support: Evaluation prompts demonstrate its ability to process and respond to queries in Vietnamese, indicating a specialization or strong performance in this language.
- Causal Language Modeling: As a causal language model, it predicts the next token in a sequence, enabling coherent and contextually relevant text generation.
Usage
This model can be loaded and used with the Hugging Face transformers library. Example code provided in the README illustrates how to perform inference for instruction-based tasks, showcasing its ability to answer factual questions in Vietnamese.
Base Model
The model leverages the robust architecture and pre-training of NousResearch/Llama-2-7b-chat-hf, providing a strong foundation for its instruction-following capabilities.