1010happy/claude_max_max7_perblock35-Qwen2-5-3B-Instruct-seed88888888

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-seed88888888 is a 3.1 billion parameter instruction-tuned causal language model based on the Qwen2 architecture. This model is designed for general-purpose conversational AI tasks, leveraging its instruction-following capabilities. It features a substantial context length of 32768 tokens, enabling it to process and generate longer, more coherent responses. Its primary strength lies in its ability to follow complex instructions for various natural language processing applications.

Loading preview...

Model Overview

This model, named 1010happy/claude_max_max7_perblock35-Qwen2-5-3B-Instruct-seed88888888, is an instruction-tuned causal language model built upon the Qwen2 architecture. It features approximately 3.1 billion parameters and supports a context length of 32768 tokens, allowing for extensive input and output sequences.

Key Capabilities

  • Instruction Following: Designed to accurately interpret and execute user instructions for various tasks.
  • Extended Context: Benefits from a 32768-token context window, facilitating more detailed and contextually aware interactions.
  • General-Purpose Language Generation: Capable of generating human-like text across a wide range of topics and styles.

Good For

  • Conversational AI: Suitable for chatbots, virtual assistants, and interactive applications requiring instruction adherence.
  • Text Generation: Effective for tasks like content creation, summarization, and question answering where context is crucial.
  • Prototyping: A good candidate for developing and testing language-based applications due to its moderate size and strong instruction-following.

Limitations

As indicated by the model card, specific details regarding its development, training data, evaluation results, and potential biases are currently marked as "More Information Needed." Users should be aware of these unknowns and exercise caution, especially in sensitive applications, until further documentation is provided.

Finetunes
1 models