1010happy/BALANCED_claude_max_max7_perblock35-Qwen2-5-1-5B-Instruct-seed51485

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 11, 2026Architecture:Transformer Featherless Exclusive Cold

BALANCED_claude_max_max7_perblock35-Qwen2-5-1-5B-Instruct-seed51485 is a 1.5 billion parameter instruction-tuned language model developed by 1010happy. This model is based on the Qwen2-5 architecture and is designed for general instruction-following tasks. Its compact size makes it suitable for applications requiring efficient inference while maintaining reasonable performance.

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Model Overview

This model, named BALANCED_claude_max_max7_perblock35-Qwen2-5-1-5B-Instruct-seed51485, is a 1.5 billion parameter instruction-tuned language model. It is developed by 1010happy and built upon the Qwen2-5 architecture, indicating its foundation in a robust and widely recognized model family. The model is designed to follow instructions effectively, making it versatile for various natural language processing tasks.

Key Characteristics

  • Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a context length of 32768 tokens, allowing it to process and generate longer sequences of text.
  • Instruction-Tuned: Optimized for understanding and executing user instructions, which is crucial for conversational AI and task automation.

Potential Use Cases

  • General Instruction Following: Suitable for a broad range of tasks where the model needs to respond to specific prompts or commands.
  • Text Generation: Can be used for generating coherent and contextually relevant text based on given instructions.
  • Prototyping and Development: Its relatively smaller size makes it a good candidate for rapid prototyping and development in resource-constrained environments.

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