Instructions to use ZichenAI/BaiHu-V1-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ZichenAI/BaiHu-V1-Flash with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="ZichenAI/BaiHu-V1-Flash")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("ZichenAI/BaiHu-V1-Flash", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ZichenAI/BaiHu-V1-Flash with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ZichenAI/BaiHu-V1-Flash"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZichenAI/BaiHu-V1-Flash",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ZichenAI/BaiHu-V1-Flash

SGLang

How to use ZichenAI/BaiHu-V1-Flash 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 "ZichenAI/BaiHu-V1-Flash" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZichenAI/BaiHu-V1-Flash",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "ZichenAI/BaiHu-V1-Flash" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZichenAI/BaiHu-V1-Flash",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ZichenAI/BaiHu-V1-Flash with Docker Model Runner:
```
docker model run hf.co/ZichenAI/BaiHu-V1-Flash
```

BaiHu-V1-Flash / LICENSE.custom.md

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BaiHu-V1-Flash Custom License

Version 1.0 | Effective date: 2026-09-29

This License governs the BaiHu-V1-Flash model (the "Model"), including its weights, configuration, inference code and accompanying documentation. By downloading, copying, installing, invoking or otherwise using the Model, you confirm that you have read, understood and agree to be bound by all terms of this License. If you do not agree, stop using the Model immediately and delete all copies.

1. Definitions

"Personal Use" means use by a natural person for their own learning, research, teaching, experimentation, hobby projects or other non-commercial purposes, where such use does not directly or indirectly generate commercial revenue and does not provide paid services to third parties based on the Model.
"Commercial Use" means any use for profit, any use in the business operations of a for-profit entity, or any use that generates commercial revenue. This includes, without limitation: internal production systems of a company, paid APIs or SaaS offered to third parties, integration into paid products, advertising or commercial analytics, client-facing delivery work, and any paid service built on the Model.
"You" means the natural person or legal entity exercising rights under this License.
"Derivative Model" means any model obtained by fine-tuning, continued training, distillation, quantization, pruning, merging or otherwise modifying the Model.

2. Free Grant: Personal Use

Subject to this License, Personal Use is free of charge, with no fee and no prior application required. You may:

download, install, run and copy the Model;
modify the Model and create or train Derivative Models;
use the Model freely in personal, non-commercial projects, including publicly releasing your research results and demos.

3. Paid Grant: Commercial Use

Any Commercial Use requires prior written commercial authorization. Commercial Use without such authorization is not permitted.

Commercial licenses are negotiated based on scale of use, deployment model and term, and may include custom terms. To obtain one, contact:

Business contact: novaweb6868@outlook.com

Please briefly state: your entity name, intended use case, expected volume or deployment scale, and whether redistribution rights are required.

Until you and the copyright holder reach a written agreement on commercial licensing, this License grants you no right of Commercial Use.

4. General Restrictions (applies to both Personal and Commercial Use)

Whether your use is Personal Use or commercially licensed, you must not:

remove, obscure or alter copyright notices, license identifiers or attribution in the Model;
use the Model or any Derivative Model for any activity that violates applicable laws or regulations;
use the Model to generate or distribute malicious code, fraudulent content, or content that infringes the lawful rights of others;
sublicense the Model or any Derivative Model to third parties under terms that conflict with this License (except where redistribution rights are expressly granted in a commercial license);
claim original authorship of the Model, or make any promise or warranty on behalf of the copyright holder.

5. Licensing of Derivative Models

Derivative Models you create remain subject to this License; your modifications do not remove them from its scope. Sections 2, 3 and 4 therefore apply equally to Derivative Models: Personal Use is free, Commercial Use requires a paid license. When distributing a Derivative Model you must include the full text of this License and prominently state that it is built upon BaiHu-V1-Flash.

6. Upstream License and Third-Party Components

The Model is an architectural retrofit and continued-pretraining product of Qwen/Qwen3-0.6B-Base (Apache License 2.0). This License only governs the rights the copyright holder holds in the portions newly added to the Model, and does not alter the original license terms of upstream components. All use of the Model must also comply with the licenses applicable to those upstream components. In the event of a conflict, the upstream license prevails with respect to the upstream components.

7. What Counts as Commercial Use

The following are Commercial Use and require authorization (this list is not exhaustive):

use in the business of a company, studio, sole proprietorship or other for-profit entity, even if no fee is charged directly;
delivering projects or deliverables that incorporate the Model to clients;
use to generate content, products or services sold externally;
offering a free service built on the Model while monetizing through advertising, traffic diversion, data monetization or similar.

The following are generally not Commercial Use (final determination rests with the copyright holder):

personal study, coursework, or academic research that is publicly published;
use by non-profit organizations for non-commercial purposes.

8. Disclaimer of Warranty

The Model is provided "AS IS", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, accuracy and non-infringement. You bear all risks and consequences arising from your use of the Model. In no event shall the copyright holder be liable for any direct, indirect, incidental, special or consequential damages arising from the use of, or inability to use, the Model. The Model may produce inaccurate, biased or otherwise inappropriate output; you are responsible for evaluating it and for the consequences.

9. Termination

If you breach any term of this License, the rights granted to you under it terminate automatically, without notice. Upon termination you must immediately stop using the Model and delete all copies and Derivative Models. Sections 4, 5, 8 and 10 survive termination.

10. Governing Law and Dispute Resolution

The formation, validity, interpretation and dispute resolution of this License are governed by the laws of the copyright holder's jurisdiction. The parties shall first seek an amicable resolution of any dispute arising from this License.

11. Changes to This License

The copyright holder reserves the right to revise this License from time to time. A revised License takes effect upon publication; your continued use of the Model after such publication constitutes acceptance of the revised terms.

Quick Summary (for convenience only; the full text above controls)

Use case	Fee	Notes
Personal study / research / experimentation / hobby	Free	No application required
Academic research with public publication	Free	Please cite the source
Non-profit, non-commercial use by non-profits	Free	No application required
Internal use by a company (even without direct fees)	License required	Contact novaweb6868@outlook.com
Paid API / SaaS / product integration	License required	Contact novaweb6868@outlook.com
Client-facing deliverables	License required	Contact novaweb6868@outlook.com
Distributing fine-tuned / quantized versions	Same license	Free for personal, paid for commercial

Commercial licensing contact: novaweb6868@outlook.com