nmngpt0/Llama-2-7b-chat-finetune
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kPublished:Oct 4, 2026Architecture:Transformer Featherless Exclusive Cold
The nmngpt0/Llama-2-7b-chat-finetune is a 7 billion parameter language model developed by nmngpt0, fine-tuned from the Llama-2 architecture. This model is designed for chat-based applications, leveraging its fine-tuned nature to generate conversational responses. With a context length of 4096 tokens, it is suitable for interactive dialogue systems and general-purpose conversational AI tasks.
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Overview
The nmngpt0/Llama-2-7b-chat-finetune is a 7 billion parameter language model, fine-tuned from the Llama-2 architecture. This model is specifically adapted for conversational AI, making it suitable for various chat-based applications. It processes inputs with a context length of 4096 tokens, allowing for moderately long dialogues.
Key Capabilities
- Conversational AI: Optimized for generating human-like responses in chat scenarios.
- Dialogue Systems: Capable of maintaining context over a 4096-token window, facilitating coherent conversations.
- General-purpose Text Generation: Can be used for various text generation tasks beyond just chat, given its foundational Llama-2 architecture.
Good for
- Developing chatbots and virtual assistants.
- Applications requiring interactive dialogue.
- Prototyping conversational AI features where a 7B parameter model offers a balance of performance and computational efficiency.