yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e5-b64-2
The yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e5-b64-2 model is a 7.6 billion parameter language model. This model is a fine-tuned variant, likely optimized for specific reasoning tasks given its name, though detailed specifications are not provided. Its architecture and training specifics are not detailed in the available information, suggesting it is a specialized adaptation of an existing base model.
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Model Overview
The yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e5-b64-2 is a 7.6 billion parameter language model. While specific details regarding its architecture, training data, and fine-tuning objectives are not provided in the current model card, its name suggests an optimization for reasoning capabilities. The model card indicates that it is a Hugging Face Transformers model, automatically generated, and is likely a fine-tuned version of a larger base model.
Key Characteristics
- Parameter Count: 7.6 billion parameters.
- Context Length: 32768 tokens.
- Model Type: A fine-tuned language model, likely focusing on reasoning tasks based on its naming convention.
Limitations and Further Information
Currently, the model card lacks comprehensive details on its development, specific use cases, performance benchmarks, training data, and potential biases or limitations. Users are advised that more information is needed to fully understand its capabilities and appropriate applications. Recommendations for use, bias mitigation, and environmental impact are also pending further documentation.