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
Sync from GitHub via hub-sync
Browse files
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| 1 |
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Caracat Code
|
| 2 |
+
Copyright 2026 Caracat Code Project
|
| 3 |
+
|
| 4 |
+
This product includes software developed by the Caracat Code Project.
|
| 5 |
+
|
| 6 |
+
================================================================================
|
| 7 |
+
Base model attribution
|
| 8 |
+
================================================================================
|
| 9 |
+
|
| 10 |
+
Caracat Code is based on Qwen3-Coder-Next by Qwen.
|
| 11 |
+
|
| 12 |
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Upstream model Qwen/Qwen3-Coder-Next
|
| 13 |
+
Upstream URL https://huggingface.co/Qwen/Qwen3-Coder-Next
|
| 14 |
+
Upstream license Apache License 2.0, as listed on the Hugging Face model
|
| 15 |
+
page. See THIRD_PARTY_LICENSES.md for the current
|
| 16 |
+
verification status of this statement.
|
| 17 |
+
|
| 18 |
+
Caracat Code was not trained from scratch. It derives from the upstream model
|
| 19 |
+
named above.
|
| 20 |
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|
| 21 |
+
Any copyright notices, license notices, NOTICE files and attribution
|
| 22 |
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information distributed with the upstream model must be preserved in every
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redistribution of that material, including redistribution in modified form, as
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required by the Apache License 2.0.
|
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| 26 |
+
================================================================================
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Scope of this NOTICE
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================================================================================
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| 29 |
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| 30 |
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The Apache License 2.0 in the LICENSE file of this repository applies to the
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original source code authored for this project (training tooling, evaluation
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+
tooling, configuration and documentation in this repository).
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+
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It does not, by itself, grant any rights in the upstream model weights. Those
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remain governed by the license under which Qwen distributes them.
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+
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+
Third-party components and their licenses are listed in
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+
THIRD_PARTY_LICENSES.md.
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README.md
CHANGED
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model:
|
| 4 |
+
- Qwen/Qwen3-Coder-Next
|
| 5 |
+
pipeline_tag: text-generation
|
| 6 |
+
library_name: transformers
|
| 7 |
+
language:
|
| 8 |
+
- en
|
| 9 |
+
tags:
|
| 10 |
+
- code
|
| 11 |
+
- coding-agent
|
| 12 |
+
- qwen3
|
| 13 |
+
- code-generation
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# 🐈⬛ Caracat Code
|
| 17 |
+
|
| 18 |
+
**Caracat Code is an AI coding model based on Qwen3-Coder-Next by Qwen.**
|
| 19 |
+
|
| 20 |
+
> **Status: pre-release.** No fine-tuning has been performed yet, and no weights
|
| 21 |
+
> are published in this repository. This model card documents the project, its
|
| 22 |
+
> base model and its licensing. It is updated when that changes — it does not
|
| 23 |
+
> describe capabilities the model does not yet have.
|
| 24 |
+
|
| 25 |
+
Development happens on GitHub:
|
| 26 |
+
[`Pheonix-Studio-cat/training-and-devoloping-caracat-code`](https://github.com/Pheonix-Studio-cat/training-and-devoloping-caracat-code)
|
| 27 |
+
|
| 28 |
+
## Model details
|
| 29 |
+
|
| 30 |
+
| Field | Value |
|
| 31 |
+
| --- | --- |
|
| 32 |
+
| Model name | Caracat Code |
|
| 33 |
+
| Base model | [`Qwen/Qwen3-Coder-Next`](https://huggingface.co/Qwen/Qwen3-Coder-Next) by Qwen |
|
| 34 |
+
| Model type | Causal language model for code |
|
| 35 |
+
| License | Apache-2.0 |
|
| 36 |
+
| Version | 0.1.0 (documentation only) |
|
| 37 |
+
|
| 38 |
+
Caracat Code was **not** trained from scratch. It derives from the upstream
|
| 39 |
+
model above, and the attribution and notices required by the upstream license
|
| 40 |
+
are preserved in the `NOTICE` file of this repository.
|
| 41 |
+
|
| 42 |
+
## Base model specifications
|
| 43 |
+
|
| 44 |
+
Parameter count, context length, architecture details and benchmark results
|
| 45 |
+
belong to the base model and are documented on the
|
| 46 |
+
[Qwen3-Coder-Next model card](https://huggingface.co/Qwen/Qwen3-Coder-Next).
|
| 47 |
+
|
| 48 |
+
They are deliberately not restated here: a copied number that is never
|
| 49 |
+
re-checked becomes a false claim the moment upstream updates it.
|
| 50 |
+
|
| 51 |
+
## Intended use
|
| 52 |
+
|
| 53 |
+
Software development work — code generation, code understanding and
|
| 54 |
+
explanation, debugging, refactoring, optimization, and coding-agent workflows.
|
| 55 |
+
|
| 56 |
+
### Out of scope
|
| 57 |
+
|
| 58 |
+
- Safety-critical decisions without human review.
|
| 59 |
+
- Legal, medical or financial advice.
|
| 60 |
+
- Producing code intended to attack, compromise or disrupt systems.
|
| 61 |
+
- Any use violating the base model's license, third-party licenses or
|
| 62 |
+
applicable law.
|
| 63 |
+
|
| 64 |
+
## Modifications relative to the base model
|
| 65 |
+
|
| 66 |
+
| Area | Status |
|
| 67 |
+
| --- | --- |
|
| 68 |
+
| Fine-tuning | None performed |
|
| 69 |
+
| Quantization | None performed |
|
| 70 |
+
| Architecture changes | None |
|
| 71 |
+
| Tokenizer changes | None |
|
| 72 |
+
|
| 73 |
+
## Training data
|
| 74 |
+
|
| 75 |
+
None used by this project so far.
|
| 76 |
+
|
| 77 |
+
Datasets are only used where their license permits the intended use. Every
|
| 78 |
+
dataset must declare its source, license, commercial-use permission and
|
| 79 |
+
attribution requirement before a training run can start; this is enforced in
|
| 80 |
+
code in the GitHub repository. A dataset with an unknown license is not used.
|
| 81 |
+
|
| 82 |
+
## Evaluation
|
| 83 |
+
|
| 84 |
+
No benchmark results are published for Caracat Code.
|
| 85 |
+
|
| 86 |
+
Results are published only once produced by a reproducible run that records
|
| 87 |
+
model version, base model version, quantization, hardware, software versions,
|
| 88 |
+
test set, generation parameters and context length alongside the numbers.
|
| 89 |
+
|
| 90 |
+
**No claim is made that Caracat Code performs better than any other model.**
|
| 91 |
+
|
| 92 |
+
## Limitations and risks
|
| 93 |
+
|
| 94 |
+
Caracat Code inherits the limitations of its base model:
|
| 95 |
+
|
| 96 |
+
- generated code may be incorrect, insecure or subtly wrong while looking
|
| 97 |
+
plausible;
|
| 98 |
+
- output may resemble code from training data, which can carry third-party
|
| 99 |
+
rights;
|
| 100 |
+
- the model has no awareness of your repository's licensing, security policy or
|
| 101 |
+
runtime environment unless that context is provided;
|
| 102 |
+
- quality varies with prompt quality, programming language and task
|
| 103 |
+
familiarity.
|
| 104 |
+
|
| 105 |
+
**Review generated code before running it.** Treat security-relevant output as
|
| 106 |
+
untrusted until reviewed.
|
| 107 |
+
|
| 108 |
+
## Responsible use
|
| 109 |
+
|
| 110 |
+
- Do not present generated code as free of third-party rights without review.
|
| 111 |
+
- Do not use the model to produce malware, credential-harvesting tooling or
|
| 112 |
+
other abusive software.
|
| 113 |
+
- Keep humans in the loop wherever production systems, user data or money are
|
| 114 |
+
involved.
|
| 115 |
+
|
| 116 |
+
## License and attribution
|
| 117 |
+
|
| 118 |
+
This repository's contents are provided under the Apache License 2.0; see
|
| 119 |
+
`LICENSE` and `NOTICE`.
|
| 120 |
+
|
| 121 |
+
The base model remains governed by the license under which Qwen distributes it.
|
| 122 |
+
Commercial use may be possible, but it must satisfy Apache-2.0, all third-party
|
| 123 |
+
and dataset licenses, any model-specific terms, platform terms and applicable
|
| 124 |
+
law. No blanket claim of commercial usability is made for every component.
|
| 125 |
+
|
| 126 |
+
None of this is legal advice.
|
| 127 |
+
|
| 128 |
+
If you use or redistribute Caracat Code, keep the attribution:
|
| 129 |
+
|
| 130 |
+
> Caracat Code is based on Qwen3-Coder-Next by Qwen.
|