Bodya73/NervGPT-1.6-Coder-3B
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 2, 2026Architecture:Transformer Featherless Exclusive Cold
Bodya73/NervGPT-1.6-Coder-3B is a 3.1 billion parameter instruction-tuned language model, fine-tuned by Bodya73 using Unsloth. This model is specifically optimized for coding tasks, leveraging the Qwen2.5-3B-Instruct architecture. It features a substantial 32768 token context length, making it suitable for handling extensive codebases and complex programming prompts.
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NervGPT-1.6-Coder-3B: Code-Optimized Language Model
NervGPT-1.6-Coder-3B is a 3.1 billion parameter instruction-tuned model developed by Bodya73, built upon the Qwen2.5-3B-Instruct architecture. It has been fine-tuned and converted to GGUF format using Unsloth, which facilitated a 2x faster training process.
Key Capabilities
- Code Generation and Understanding: Optimized for programming-related tasks, leveraging its instruction-tuned nature.
- Extended Context Window: Features a 32768 token context length, enabling it to process and generate longer code snippets and complex problem descriptions.
- GGUF Format: Available in GGUF format, including
qwen2.5-3b-instruct.Q8_0.ggufandqwen2.5-3b-instruct.Q4_K_M.gguffor efficient local deployment. - Ollama Integration: Includes an Ollama Modelfile for streamlined deployment and usage within the Ollama ecosystem.
Good For
- Developers seeking a compact yet capable model for code-centric applications.
- Local inference environments where GGUF compatibility and Ollama integration are beneficial.
- Tasks requiring a large context window for handling extensive programming logic or documentation.