Instructions to use ccore/Qwen3.5-4B-3D-Coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ccore/Qwen3.5-4B-3D-Coder with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Use Docker
docker model run hf.co/ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use ccore/Qwen3.5-4B-3D-Coder with Ollama:
ollama run hf.co/ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
- Unsloth Desktop
- Pi
How to use ccore/Qwen3.5-4B-3D-Coder with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "ccore/Qwen3.5-4B-3D-Coder:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use ccore/Qwen3.5-4B-3D-Coder with Docker Model Runner:
docker model run hf.co/ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
- Lemonade
How to use ccore/Qwen3.5-4B-3D-Coder with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3.5-4B-3D-Coder-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use ccore/Qwen3.5-4B-3D-Coder with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ccore/Qwen3.5-4B-3D-Coder with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ccore/Qwen3.5-4B-3D-Coder:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "ccore/Qwen3.5-4B-3D-Coder:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Qwen3.5-4B-3D-Coder
#12
by willowoods - opened
- README.md +0 -43
- images/important-note.svg +0 -1
README.md
CHANGED
|
@@ -12,8 +12,6 @@ tags:
|
|
| 12 |
- preview
|
| 13 |
---
|
| 14 |
|
| 15 |
-
<a href="#whats-next"><img src="images/important-note.svg" alt="Important note — Next releases" width="380" /></a>
|
| 16 |
-
|
| 17 |
# Qwen3.5-4B-3D-Coder
|
| 18 |
|
| 19 |
### Early preview · General coding with a focus on 3D
|
|
@@ -218,44 +216,3 @@ beacon sits above the cab.
|
|
| 218 |
|
| 219 |
The bugs observed so far have generally involved duplicate variable names, rather than major structural problems.
|
| 220 |
|
| 221 |
-
## What’s next
|
| 222 |
-
|
| 223 |
-
I’ve also released an early preview of [**GLB-3D-Coder**](https://huggingface.co/ccore/Qwen3.5-4B-GLB-3D-Coder), focused on **creating reusable 3D assets with GLB export** for game editors such as **Godot**. I’m preparing its training dataset for public release, with roughly the same number of examples as the [dataset released with this model](https://huggingface.co/datasets/ccore/ThreeJS-3D-Scenes).
|
| 224 |
-
|
| 225 |
-
Beyond that, I’m planning a larger dataset of **100,000 high-quality examples**, with context lengths ranging from **8K to 128K tokens**, targeting a training run roughly **15× larger than the current GLB model’s run**. The first goal is **reliable one-shot asset generation**, followed by a version designed to work directly inside an **agent harness**, generating, testing, and refining assets.
|
| 226 |
-
|
| 227 |
-
As with this release, I plan to share the datasets and model weights openly. **Community support would help fund the data generation, validation, and GPU compute needed to make these next steps possible.**
|
| 228 |
-
|
| 229 |
-
## ❤️ Support Future Open-Source AI Models
|
| 230 |
-
|
| 231 |
-
I'm independently developing and releasing specialized AI models and datasets for 3D generation, procedural environments, and creative coding, with the goal of making these tools accessible to everyone.
|
| 232 |
-
|
| 233 |
-
Training new models, generating high-quality datasets, validating thousands of examples, and running experiments require significant GPU resources, time, and effort.
|
| 234 |
-
|
| 235 |
-
**If you enjoy this project and would like to help me train more models, expand the datasets, and explore new capabilities, any contribution is greatly appreciated!**
|
| 236 |
-
|
| 237 |
-
My goal is to keep sharing models, weights, datasets, and improvements openly with the community.
|
| 238 |
-
|
| 239 |
-
### ☕ Support via Ko-fi
|
| 240 |
-
|
| 241 |
-
[https://ko-fi.com/ccorecaio](https://ko-fi.com/ccorecaio)
|
| 242 |
-
|
| 243 |
-
### Crypto Donations
|
| 244 |
-
|
| 245 |
-
**Bitcoin (BTC) — Bitcoin Network (SegWit)**
|
| 246 |
-
|
| 247 |
-
`bc1qr2gnr9g0uzk8rmsq0k6xpjgg4l7r0rfyrq69e6`
|
| 248 |
-
|
| 249 |
-
**Ethereum (ETH) — Ethereum Mainnet (ERC20)**
|
| 250 |
-
|
| 251 |
-
`0xa17608FCdeAd9e717Cd42e04127175527b4E75CB`
|
| 252 |
-
|
| 253 |
-
**Solana (SOL / USDC / USDT) — Solana Network**
|
| 254 |
-
|
| 255 |
-
`GhNmYmezKi1uWGKZeVxgddjiRW2rYNHZrf84ZaMcnha`
|
| 256 |
-
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
Every contribution helps fund more GPU compute, better datasets, new training runs, and future public releases.
|
| 260 |
-
|
| 261 |
-
**Thank you for supporting independent open-source AI research!**
|
|
|
|
| 12 |
- preview
|
| 13 |
---
|
| 14 |
|
|
|
|
|
|
|
| 15 |
# Qwen3.5-4B-3D-Coder
|
| 16 |
|
| 17 |
### Early preview · General coding with a focus on 3D
|
|
|
|
| 216 |
|
| 217 |
The bugs observed so far have generally involved duplicate variable names, rather than major structural problems.
|
| 218 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
images/important-note.svg
DELETED