TheBloke/Llama-2-7B-Chat-fp16

Model Overview

This model, TheBloke/Llama-2-7B-Chat-fp16, is a 7 billion parameter variant from Meta's Llama 2 family of large language models. It is a fine-tuned version, specifically optimized for dialogue and assistant-like chat applications. The model employs an optimized transformer architecture and has been aligned to human preferences for helpfulness and safety through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).

Key Capabilities

• Dialogue Optimization: Specifically fine-tuned for conversational use cases, outperforming many open-source chat models.
• Safety and Helpfulness: Evaluated to be on par with some popular closed-source models like ChatGPT and PaLM in human evaluations for helpfulness and safety.
• Context Length: Supports a context length of 4096 tokens, suitable for extended conversations.
• English Language Focus: Intended for commercial and research use primarily in English.

Use Cases

• Assistant-like Chat: Ideal for building chatbots and virtual assistants that require engaging in natural, helpful dialogues.
• Natural Language Generation: While fine-tuned for chat, the underlying architecture can be adapted for various text generation tasks.

Important Considerations

• License: Use of this model is governed by a custom commercial license from Meta.
• Formatting: For optimal performance in chat versions, a specific input formatting including INST, <<SYS>> tags, and BOS/EOS tokens is required.