1010happy/claude_max_max7_perblock35-Qwen2-5-3B-Instruct-seed1010

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 8, 2026Architecture:Transformer Featherless Exclusive Cold

The 1010happy/claude_max_max7_perblock35-Qwen2-5-3B-Instruct-seed1010 is a 3.1 billion parameter instruction-tuned language model. This model is based on the Qwen2-5-3B-Instruct architecture, designed for general-purpose conversational AI. Its instruction-following capabilities make it suitable for a variety of natural language processing tasks.

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Model Overview

This model, 1010happy/claude_max_max7_perblock35-Qwen2-5-3B-Instruct-seed1010, is an instruction-tuned variant of the Qwen2-5-3B-Instruct architecture, featuring 3.1 billion parameters. While specific details regarding its development, funding, and training data are not provided in the model card, it is designed to follow instructions for various natural language tasks.

Key Capabilities

  • Instruction Following: Optimized to understand and execute user instructions.
  • General-Purpose Language Generation: Capable of generating human-like text for a wide range of prompts.

Limitations and Recommendations

As with many language models, users should be aware of potential biases, risks, and limitations. The model card indicates that more information is needed regarding its specific training data, evaluation metrics, and potential biases. Users are advised to exercise caution and conduct their own evaluations for specific use cases.

How to Use

To get started with this model, users can integrate it into their applications using the Hugging Face transformers library. The model is intended for direct use in applications requiring instruction-based text generation.

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