Yhyu13/chimera-inst-chat-7b-hf
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kLicense:apache-2.0Architecture:Transformer0.0K Open Weights Cold
Yhyu13/chimera-inst-chat-7b-hf is a 7 billion parameter instruction-tuned causal language model developed by Yhyu13. This model is notable for its claimed performance, achieving 85% of ChatGPT's evaluation score by GPT-4. It is designed for chat-based applications and general instruction following, offering a compact solution for conversational AI.
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Model Overview
Yhyu13/chimera-inst-chat-7b-hf is a 7 billion parameter instruction-tuned language model. Developed by Yhyu13, this model is based on delta weights, with a 13B merged weight version also available. It is specifically designed for chat and instruction-following tasks.
Key Capabilities
- Instruction Following: Optimized to understand and execute user instructions effectively.
- Chat Applications: Fine-tuned for conversational interactions, making it suitable for chatbots and virtual assistants.
- Performance Claim: The creator states that Chimera-inst 7B scores 85% of ChatGPT's performance when evaluated by GPT-4, indicating strong general capabilities for its size.
Use Cases
- Conversational AI: Ideal for building interactive chat applications.
- General Instruction Following: Can be used for tasks requiring the model to follow specific commands or prompts.
- Resource-Efficient Deployment: As a 7B parameter model, it offers a balance between performance and computational requirements.