Text Generation
Transformers
Safetensors
English
deep-research
agent
reinforcement-learning
tool-use
open-ended-evolution
qwen3
Eval Results (legacy)
Instructions to use IQuestLab/HOTE-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IQuestLab/HOTE-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="IQuestLab/HOTE-8B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IQuestLab/HOTE-8B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use IQuestLab/HOTE-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "IQuestLab/HOTE-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "IQuestLab/HOTE-8B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/IQuestLab/HOTE-8B
- SGLang
How to use IQuestLab/HOTE-8B 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 "IQuestLab/HOTE-8B" \ --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": "IQuestLab/HOTE-8B", "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 "IQuestLab/HOTE-8B" \ --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": "IQuestLab/HOTE-8B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use IQuestLab/HOTE-8B with Docker Model Runner:
docker model run hf.co/IQuestLab/HOTE-8B
Add HOTE-8B model card
#1
by HongmingPIAO - opened
Add a complete model card based on arXiv:2606.13710, including intended use, checkpoint layout, training details, benchmark results, limitations, and citation.
yunyin007 changed pull request status to merged