Dzluck/qwen35-claude-coder-GGUF overview
Qwen3.5 Claude Coder Custom Qwen3.5 models tuned to act as autonomous coding / sysadmin agents inside Claude Code , fully local. They run tools instead of gues…
Runs locally from ~3.16 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | Dzluck/qwen35-claude-coder-GGUF |
|---|---|
| Author | Dzluck |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | Qwen/Qwen3.5-9B |
| Last modified | 2026-06-23T00:58:06.000Z |
Model README
---
license: apache-2.0
base_model: Qwen/Qwen3.5-9B
tags:
- claude-code
- coding-agent
- tool-calling
- gguf
- mlx
- qwen3.5
- agent
language:
- en
- pl
pipeline_tag: text-generation
---
Qwen3.5 Claude Coder
Custom Qwen3.5 models tuned to act as autonomous coding / sysadmin agents inside Claude Code, fully local. They run tools instead of guessing, write files instead of pasting code, report only real tool output (no hallucinated hosts or numbers), and stay terse with thinking suppressed so they act immediately. 64K context, native tool-calling, Anthropic-compatible API.
What is in this repo (GGUF)
| File | Base | Context | Notes |
|---|---|---|---|
| gguf/qwen35-claude-coder-4b.gguf | Qwen3.5 4B | 64K | Light, fast agent for 16GB Apple Silicon. ~30 tok/s. |
| gguf/qwen35-claude-coder-9b.gguf | Qwen3.5 9B | 64K | Stronger, production-quality code. ~17 tok/s on 32GB, ~14 on 16GB. |
Run via Ollama:
ollama run rafw007/qwen35-claude-coder:9b
ollama launch claude --model rafw007/qwen35-claude-coder:9b
⚠️ Note on the MLX variants
*The MLX builds (-mlx) exist ONLY inside a local Ollama install and were tested ONLY there.**
They are stored in Ollama internal MLX format (nvfp4) and were not pushed to the ollama.com registry, which currently rejects MLX-format manifests. They are not provided here as standalone mlx_lm weights and were not validated outside Ollama. This HF repo ships the portable GGUF weights plus the Modelfiles (full recipe) for every variant, including the MLX ones, so the build is reproducible. The published, downloadable models are the GGUF ones on ollama.com (rafw007/qwen35-claude-coder:4b and :9b).
Tested on
Real-terminal agent runs through Claude Code on a Mac Studio M2, 32GB RAM and Mac Mini M4 (16GB / 32GB), Ollama 0.24, Metal GPU. Disk and network agent tasks: correct tool calls, zero emoji, zero hallucination.
Recipe
See modelfiles/. Sampling: temperature 0.2, top_p 0.9, top_k 20, repeat_penalty 1.05, num_ctx 65536. System prompt enforces: act with tools now, write files, ground in real output, be terse, one language, never drift to Chinese.
How they were made
Built and tested with the help of Claude Opus — the idea that the best coding model should be able to create smaller models in its own image.
License
Apache 2.0 (inherited from base Qwen3.5).
Run Dzluck/qwen35-claude-coder-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models