VeriReason-Qwen2.5-7b Open-source Model - Free Deployment to Facilitate Verilog Code Generation and Inference

Verireason Qwen2.5 7b RTLCoder Verilog GRPO Reasoning Tb GGUF

Developed by mradermacher

This is a quantized model based on Qwen2.5-7b, specializing in Verilog code generation and reasoning tasks, optimized using reinforcement learning techniques.

Large Language Model

Transformers

English#Verilog code generation #Hardware design reasoning #RTL reinforcement learning

Downloads 413

Release Time : 5/21/2025

Model Overview

The model is primarily used for Verilog code generation and testbench reasoning, suitable for hardware description language (HDL) related development tasks.

Model Features

Verilog code generation

Specialized capability for generating Verilog hardware description language code

Reinforcement learning optimization

Utilizes GRPO reinforcement learning algorithm for model optimization

Multiple quantization versions

Offers various quantization versions from Q2_K to f16 to meet different needs

Reasoning capability

Equipped with testbench reasoning ability to assist hardware design verification

Model Capabilities

Verilog code generation

Hardware design assistance

Testbench reasoning

RTL-level code optimization

Use Cases

Hardware design

Verilog module generation

Automatically generates Verilog hardware description modules based on requirements

Testbench verification

Generates testbenches for hardware designs and performs reasoning verification

EDA tools

RTL code optimization

Assists electronic design automation tools in RTL-level code optimization

Property	Details
Base Model	Nellyw888/VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb
Datasets	Nellyw888/VeriReason-RTL-Coder_7b_reasoning_tb
Language	en
Library Name	transformers
Quantized By	mradermacher
Tags	verilog, reasoning, reinforcement-learning, rtl

Link	Type	Size/GB	Notes
GGUF	Q2_K	3.1
GGUF	Q3_K_S	3.6
GGUF	Q3_K_M	3.9	lower quality
GGUF	Q3_K_L	4.2
GGUF	IQ4_XS	4.4
GGUF	Q4_K_S	4.6	fast, recommended
GGUF	Q4_K_M	4.8	fast, recommended
GGUF	Q5_K_S	5.4
GGUF	Q5_K_M	5.5
GGUF	Q6_K	6.4	very good quality
GGUF	Q8_0	8.2	fast, best quality
GGUF	f16	15.3	16 bpw, overkill

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Verireason Qwen2.5 7b RTLCoder Verilog GRPO Reasoning Tb GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 VeriReason-Qwen2.5-7b-RTLCoder-Verilog-GRPO-reasoning-tb Quantized Model

📚 Documentation

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