daewanhan/Qwen3-0.6B-JSON-SFT
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 12, 2026Architecture:Transformer Featherless Exclusive Cold
The daewanhan/Qwen3-0.6B-JSON-SFT is a 0.8 billion parameter language model, fine-tuned for JSON instruction following. This model is designed to generate structured JSON outputs based on given prompts. It offers a context length of 32768 tokens, making it suitable for tasks requiring precise and formatted data generation.
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Model Overview
The daewanhan/Qwen3-0.6B-JSON-SFT is a compact yet capable language model with 0.8 billion parameters, specifically fine-tuned for generating JSON-formatted responses. This model leverages a substantial context window of 32768 tokens, allowing it to process and understand lengthy inputs for structured output generation.
Key Capabilities
- JSON Instruction Following: Optimized to interpret and execute instructions for producing valid JSON structures.
- Structured Data Generation: Excels at tasks requiring precise, schema-compliant JSON outputs.
- Extended Context Window: Supports a 32768-token context length, beneficial for complex prompts or detailed data extraction.
Good For
- Applications needing reliable JSON output from natural language prompts.
- Automating data extraction into structured formats.
- Developing chatbots or agents that require structured responses for downstream processing.