yufeng1/Openthinker-7B-reasoning-qv-lora-max-type3-e5-2
The yufeng1/Openthinker-7B-reasoning-qv-lora-max-type3-e5-2 is a 7.6 billion parameter language model. This model is a fine-tuned variant, likely based on an existing architecture, and is intended for specific reasoning tasks. Its primary differentiator and use case are currently unspecified due to limited information in the provided model card.
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Model Overview
The yufeng1/Openthinker-7B-reasoning-qv-lora-max-type3-e5-2 is a 7.6 billion parameter language model. The model card indicates it is a Hugging Face Transformers model, but specific details regarding its base architecture, training data, and development team are currently marked as "More Information Needed."
Key Characteristics
- Parameter Count: 7.6 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Fine-tuned: The model name suggests it is a fine-tuned version, potentially optimized for reasoning tasks, though explicit confirmation and details are pending.
Current Limitations
Due to the lack of detailed information in the provided model card, specific capabilities, intended uses, performance benchmarks, and potential biases or risks are not yet documented. Users should exercise caution and seek further information before deploying this model in production environments.