JCX-kcuf/Llama-2-7b-hf-llama2-chat-80k
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Mar 10, 2024License:apache-2.0Architecture:Transformer Open Weights Cold
JCX-kcuf/Llama-2-7b-hf-llama2-chat-80k is a 7 billion parameter Llama-2 family model, fine-tuned on distillation data from Llama-2-7b-chat-hf. This model is designed for conversational AI, adhering to the Llama-2 chat format with a 4096-token context length. It specializes in generating helpful, respectful, and safe responses, making it suitable for general-purpose assistant applications.
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Model Overview
JCX-kcuf/Llama-2-7b-hf-llama2-chat-80k is a 7 billion parameter language model built upon the meta-llama/Llama-2-7b-hf base architecture. It has been fine-tuned using distillation data derived from Llama-2-7b-chat-hf, aiming to replicate its conversational capabilities.
Key Capabilities
- Conversational AI: Optimized for chat-based interactions, following the established Llama-2 chat prompt format.
- Safety and Ethics: Designed to produce helpful, respectful, and safe content, avoiding harmful, unethical, or biased responses.
- Context Handling: Supports a context window of 4096 tokens, allowing for moderately long conversational turns.
- Instruction Following: Adheres to instructions for explaining non-sensical queries and refraining from providing false information.
Good For
- General-purpose chatbots: Ideal for creating AI assistants that prioritize safety and helpfulness.
- Content moderation: Can be used in applications requiring socially unbiased and positive responses.
- Prototyping Llama-2 chat applications: Provides a readily available model fine-tuned for the Llama-2 chat format.