Instructions to use qikp/qwen3.5-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qikp/qwen3.5-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="qikp/qwen3.5-tiny-random")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("qikp/qwen3.5-tiny-random") model = AutoModel.from_pretrained("qikp/qwen3.5-tiny-random") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use qikp/qwen3.5-tiny-random with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "qikp/qwen3.5-tiny-random" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "qikp/qwen3.5-tiny-random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/qikp/qwen3.5-tiny-random
- SGLang
How to use qikp/qwen3.5-tiny-random 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 "qikp/qwen3.5-tiny-random" \ --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": "qikp/qwen3.5-tiny-random", "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 "qikp/qwen3.5-tiny-random" \ --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": "qikp/qwen3.5-tiny-random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use qikp/qwen3.5-tiny-random with Docker Model Runner:
docker model run hf.co/qikp/qwen3.5-tiny-random
Transformers 5.2.0 is stable and has Qwen3.5
Browse files
README.md
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This is a randomly initialized model from a modified config from [Qwen/Qwen3-Next-80B-A3B-Thinking](https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking). It is for debugging or testing only.
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As of February 11th, 2026, you **MUST** use the latest Git version of 🤗 Transformers!
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Because the necessary classes were already merged into 🤗 Transformers, we were able to release this before the official launch of Qwen3.5.
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This is a randomly initialized model from a modified config from [Qwen/Qwen3-Next-80B-A3B-Thinking](https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking). It is for debugging or testing only.
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Because the necessary classes were already merged into 🤗 Transformers, we were able to release this before the official launch of Qwen3.5.
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