AS-SiliconMind/SiliconMind-V1-Qwen3-8B
AS-SiliconMind/SiliconMind-V1-Qwen3-8B is an 8 billion parameter Large Language Model from AS-SiliconMind, fine-tuned from Qwen3-8B. This model specializes in Verilog code generation, testing, and debugging, utilizing a multi-agent framework for reasoning-oriented training data generation. It is designed to iteratively generate, test, and debug RTL designs through self-testing and tool-free verification workflows. The model excels at producing functionally correct Verilog code, particularly for complex logic, by generating reasoning traces and performing self-correction.
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SiliconMind-V1-Qwen3-8B: Specialized Verilog Code Generation
SiliconMind-V1-Qwen3-8B is an 8 billion parameter model developed by AS-SiliconMind, fine-tuned from the Qwen3-8B base model. It is part of the SiliconMind-V1 family, which focuses on advanced Verilog code generation, testing, and debugging capabilities. This model distinguishes itself by integrating a multi-agent framework for reasoning-oriented training, enabling it to generate, test, and debug RTL designs iteratively without relying on external EDA tools.
Key Capabilities
- Reasoning-Oriented Code Generation: Produces reasoning traces to guide functional correctness before generating code.
- Self-Testing & Debugging: Capable of generating test reports and fixing bugs internally, reducing reliance on external tools.
- Multi-Strategy Inference: Supports Regular, Deep Thinking, and Agentic inference modes, allowing trade-offs between latency and accuracy.
- High Performance on Verilog Benchmarks: Achieves leading Pass@1 rates on benchmarks like RTLLM-v2, VerilogEval-v2, and CVDP-cid02&03, especially when using the Agentic Strategy.
Should you use this for your use case?
- Verilog Code Development: Ideal for generating, testing, and debugging complex Verilog RTL designs.
- Automated Hardware Design: Suitable for tasks requiring high functional correctness and iterative refinement in hardware description language (HDL) generation.
- Reducing EDA Tool Dependency: Beneficial for projects aiming to minimize reliance on proprietary electronic design automation software during the code generation and verification loop.