Instructions to use Chinook416/caracat_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chinook416/caracat_code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Chinook416/caracat_code")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Chinook416/caracat_code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Chinook416/caracat_code with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Chinook416/caracat_code" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Chinook416/caracat_code", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Chinook416/caracat_code
- SGLang
How to use Chinook416/caracat_code with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Chinook416/caracat_code" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Chinook416/caracat_code", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Chinook416/caracat_code" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Chinook416/caracat_code", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Chinook416/caracat_code with Docker Model Runner:
docker model run hf.co/Chinook416/caracat_code
πββ¬ Caracat Code
Caracat Code is an AI coding model based on Qwen3-Coder-Next by Qwen.
Status: pre-release. No fine-tuning has been performed yet, and no weights are published in this repository. This model card documents the project, its base model and its licensing. It is updated when that changes β it does not describe capabilities the model does not yet have.
Development happens on GitHub:
Pheonix-Studio-cat/training-and-devoloping-caracat-code
Model details
| Field | Value |
|---|---|
| Model name | Caracat Code |
| Base model | Qwen/Qwen3-Coder-Next by Qwen |
| Model type | Causal language model for code |
| License | Apache-2.0 |
| Version | 0.1.0 (documentation only) |
Caracat Code was not trained from scratch. It derives from the upstream
model above, and the attribution and notices required by the upstream license
are preserved in the NOTICE file of this repository.
Base model specifications
Parameter count, context length, architecture details and benchmark results belong to the base model and are documented on the Qwen3-Coder-Next model card.
They are deliberately not restated here: a copied number that is never re-checked becomes a false claim the moment upstream updates it.
Intended use
Software development work β code generation, code understanding and explanation, debugging, refactoring, optimization, and coding-agent workflows.
Out of scope
- Safety-critical decisions without human review.
- Legal, medical or financial advice.
- Producing code intended to attack, compromise or disrupt systems.
- Any use violating the base model's license, third-party licenses or applicable law.
Modifications relative to the base model
| Area | Status |
|---|---|
| Fine-tuning | None performed |
| Quantization | None performed |
| Architecture changes | None |
| Tokenizer changes | None |
Training data
None used by this project so far.
Datasets are only used where their license permits the intended use. Every dataset must declare its source, license, commercial-use permission and attribution requirement before a training run can start; this is enforced in code in the GitHub repository. A dataset with an unknown license is not used.
Evaluation
No benchmark results are published for Caracat Code.
Results are published only once produced by a reproducible run that records model version, base model version, quantization, hardware, software versions, test set, generation parameters and context length alongside the numbers.
No claim is made that Caracat Code performs better than any other model.
Limitations and risks
Caracat Code inherits the limitations of its base model:
- generated code may be incorrect, insecure or subtly wrong while looking plausible;
- output may resemble code from training data, which can carry third-party rights;
- the model has no awareness of your repository's licensing, security policy or runtime environment unless that context is provided;
- quality varies with prompt quality, programming language and task familiarity.
Review generated code before running it. Treat security-relevant output as untrusted until reviewed.
Responsible use
- Do not present generated code as free of third-party rights without review.
- Do not use the model to produce malware, credential-harvesting tooling or other abusive software.
- Keep humans in the loop wherever production systems, user data or money are involved.
License and attribution
This repository's contents are provided under the Apache License 2.0; see
LICENSE and NOTICE.
The base model remains governed by the license under which Qwen distributes it. Commercial use may be possible, but it must satisfy Apache-2.0, all third-party and dataset licenses, any model-specific terms, platform terms and applicable law. No blanket claim of commercial usability is made for every component.
None of this is legal advice.
If you use or redistribute Caracat Code, keep the attribution:
Caracat Code is based on Qwen3-Coder-Next by Qwen.
Model tree for Chinook416/caracat_code
Base model
Qwen/Qwen3-Coder-Next