---

license: apache-2.0 base_model: cerebras/Qwen3-Coder-REAP-25B-A3B tags:

• code-generation
• quantization
• qwen3
• qwen-coder
• cerebras
• importance-matrix
• imatrix
• gguf
• coding
• MOE
• moe
• rust
• python

model_creator: Em-80 model_type: causal-lm pipeline_tag: text-generation language:

• en

---

Qwen3-coder-REAP-25B-A3B-Rust-GGUF

This repository provides high-precision quantized versions of the Qwen3-Coder-REAP-25B-A3B model, featuring a custom importance matrix generated by Em-80, and specifically optimized for Rust code generation.

Work in Progress

I'm using a cursed wsl2 environment, consumer hardware, and don't have fiber. So, my apologies if the quant you want is not available yet. I included the .imatrix if you need to quant your own version. Just please link to me if you use the imatrix. Once all the quants are uploaded I'll spend a weekend doing benchmarks.

Highlights

• Model Architecture: Based on the Cerebras REAP (Router-weighted Expert Activation Pruning) variant of Qwen3-Coder-30B-A3B-Instruct.
• Custom Imatrix: Includes Qwen3-Coder-REAP-25B-A3B-Rust.imatrix, generated using a diverse and high-density calibration set.
• Optimized for Logic: The quantization process focused heavily on maintaining the model's multi-lingual coding and mathematical reasoning capabilities.

Importance Matrix (Imatrix) Details

The included .imatrix file was developed to ensure that lower-bit quants retain as much intelligence as possible. Unlike standard "blind" quants that use generic calibration data, this imatrix was derived from a curated 3,000-sample dataset(21.8 MB) covering:

• Programming: Deep coverage of Rust and Python syntax, logic, and idiomatic patterns.
• Reasoning: Advanced Mathematics and logical proofs.
• Linguistic Quality: High-quality English prose.

By using this importance matrix during the quantization process, we ensure that the weights most critical for code generation and complex problem-solving are preserved with higher fidelity.

Files Included

• Weights: Multiple quantization levels (GGUF).
• Metadata: Qwen3-Coder-REAP-25B-A3B-Rust.imatrix for users who wish to perform their own custom quantization runs.

Licensing and Attribution

This work is a derivative of the Qwen3-Coder-REAP-25B-A3B model by Cerebras Systems and Qwen3-Coder-30B-A3B-Instruct by Alibaba Cloud.

• Weights & Imatrix: Released under the Apache License 2.0.
• Attribution: Modifications, quantization, and imatrix generation performed by Em-80.

Please refer to the LICENSE file in this repository for full legal terms and modification notices.

Usage

To use these quants with or quant your own Qwen3-Coder-REAP-25B-A3B with the provided imatrix in llama.cpp:

Example for running a quant

./main -m Qwen3-Coder-REAP-25B-A3B-Rust-IQ3_M.gguf -p "Write a thread-safe singleton in Rust."

Notice: This model is provided "as-is" without warranty of any kind. Use at your own risk.