Qwen3.5-9b-Sushi-Coder-RL-GGUF

Lineage

• Base model lineage: bigatuna/Qwen3.5-9b-Sushi-Coder
• RL model: bigatuna/Qwen3.5-9b-Sushi-Coder-RL
• RL pipeline: NousResearch/atropos

Training

The upstream SFT model was trained with Unsloth on:

• nohurry/Opus-4.6-Reasoning-3000x-filtered
• open-r1/codeforces-cots

The RL stage was then run for coding with NousResearch/hermes-agent using NousResearch/atropos.

During that run, vLLM was patched with vllm-project/vllm PR #36395, fix(lora): add bounds checking for TP configurations, to address the LoRA tensor-parallel bounds issue.

Files

• Qwen3.5-9b-Sushi-Coder-RL.Q4_K_M.gguf
• Qwen3.5-9b-Sushi-Coder-RL.Q8_0.gguf
• Qwen3.5-9b-Sushi-Coder-RL.BF16-mmproj.gguf

Usage Note

This is a multimodal Qwen 3.5 export. Use the text GGUF together with the BF16-mmproj file.

Quick Start

Example download commands with the Hugging Face CLI:

hf download bigatuna/Qwen3.5-9b-Sushi-Coder-RL-GGUF \
  Qwen3.5-9b-Sushi-Coder-RL.Q4_K_M.gguf \
  Qwen3.5-9b-Sushi-Coder-RL.BF16-mmproj.gguf

Alternative quant:

hf download bigatuna/Qwen3.5-9b-Sushi-Coder-RL-GGUF \
  Qwen3.5-9b-Sushi-Coder-RL.Q8_0.gguf \
  Qwen3.5-9b-Sushi-Coder-RL.BF16-mmproj.gguf

Metadata

• License: Apache-2.0
• Architecture: Qwen 3.5
• Format: GGUF
• Tags: llama.cpp, qwen3_5, multimodal, code, rl, conversational