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Cataloged from empero-ai/Qwen3.5-9B-Claude-Code-GGUF
All models by empero-ai →GGUF quantizations of empero-ai/Qwen3.5-9B-Claude-Code — A supervised fine-tune of empero-ai/Qwen3.5-9B-Claude-Opus-4.6-Distill on real Claude Code / Codex agentic sessions from the DataClaw dataset collection.
The model is trained to behave like a capable coding agent: thinking through problems, calling tools, interpreting results, and responding clearly — mirroring the full agentic loop of a real Claude Code session.
The model thinks with <think> tags, calls tools with XML-style <tool_call> blocks.
Recommended:
Q4_K_Mfor most users.Q5_K_MorQ6_Kif you have extra VRAM and want higher quality reasoning.
Create a Modelfile:
.gguf file of your chosen quantization0.7, top-p: 0.9, context: 4096This model is trained on the full agentic loop:
empero-ai/Qwen3.5-9B-Claude-CodeApache 2.0 — see base model for details.
# Basic inference./llama-cli \ -m Qwen3.5-9B-Claude-Code-Q4_K_M.gguf \ -n 1024 \ --temp 0.7 \ --top-p 0.9 \ -p "<|im_start|>systemYou are an expert AI coding assistant. You help users with software engineering tasks including writing code, debugging, refactoring, explaining code, and more. You think through problems carefully inside <think> tags before acting. You have access to tools like Read, Edit, Write, Bash, Grep, Glob, and others to interact with the user's codebase. You use tools when needed and provide clear, concise responses.<|im_end|><|im_start|>userRead the file main.py and explain what it does.<|im_end|><|im_start|>assistant"# As an OpenAI-compatible server./llama-server \ -m Qwen3.5-9B-Claude-Code-Q4_K_M.gguf \ --host 0.0.0.0 \ --port 8080 \ -c 4096 \ -ngl 99FROM Qwen3.5-9B-Claude-Code-Q4_K_M.gguf
SYSTEM """You are an expert AI coding assistant. You help users with software engineering tasks including writing code, debugging, refactoring, explaining code, and more. You think through problems carefully inside <think> tags before acting. You have access to tools like Read, Edit, Write, Bash, Grep, Glob, and others to interact with the user's codebase. You use tools when needed and provide clear, concise responses. You show your reasoning process and use tools methodically to accomplish tasks."""
PARAMETER temperature 0.7PARAMETER top_p 0.9PARAMETER num_ctx 4096ollama create codeclawd -f Modelfileollama run codeclawdYou are an expert AI coding assistant. You help users with software engineering tasks including writing code, debugging, refactoring, explaining code, and more. You think through problems carefully inside <think> tags before acting. You have access to tools like Read, Edit, Write, Bash, Grep, Glob, and others to interact with the user's codebase. You use tools when needed and provide clear, concise responses. You show your reasoning process and use tools methodically to accomplish tasks.user → <think>...</think> → <tool_call> → <tool_result> → response → repeat<tool_call><tool>Read</tool><input>{"file_path": "/path/to/file.py"}</input></tool_call>
<tool_result><tool>Read</tool><output>... file contents ...</output></tool_result><think>The user wants to refactor the auth module. I should first read the existingimplementation before suggesting changes.</think>