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Codev R1 Distill Qwen 7B

Developed by zhuyaoyu
A Verilog RTL code generation model distilled from DeepSeek-R1, demonstrating outstanding performance in Verilog benchmarks
Downloads 154
Release Time : 3/22/2025

Model Overview

This model is a Verilog-specialized version distilled from DeepSeek-R1, focusing on Hardware Description Language (HDL) code generation and problem-solving. It outperforms peer models in VerilogEval and RTLLM benchmarks while also enhancing mathematical reasoning capabilities

Model Features

Exceptional Verilog Generation Capability
Outperforms general-purpose large models like GPT-4 in VerilogEval and RTLLM benchmarks
Knowledge Distillation Technology
Acquires similar reasoning capabilities through distillation from DeepSeek-R1
Cross-domain Capability Enhancement
Verilog training unexpectedly improved mathematical reasoning abilities
High-quality Data Filtering
Retains 87,000 high-quality (problem, code) pairs through rigorous filtering

Model Capabilities

Verilog code generation
Hardware design problem solving
Mathematical reasoning
Code completion
Specification-to-RTL translation

Use Cases

Chip Design
RTL Code Generation
Automatically generates Register Transfer Level code from functional specifications
Achieves 65.4% accuracy in VerilogEval specification-to-RTL tasks
Code Completion
Assists hardware engineers in completing partial Verilog code
Achieves 65.1% accuracy in VerilogEval completion tasks
Hardware Verification
Test Case Generation
Generates test scenarios for hardware verification
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