How to use Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor", device_map="auto")
How to use Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
docker model run hf.co/Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor
How to use Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor with SGLang:
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor" \ --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": "Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
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 "Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor" \ --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": "Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'
How to use Z841973620/Qwen3.6-35B-A3B-NVFP4-TRT-EDGELLM-ENGINE-Thor with Docker Model Runner:
Qwen3.6-35B-A3B-NVFP4 for TensorRT Edge-LLM v0.8.0 with Jetson AGX Thor
使用 TensorRT Edge-LLM 部署 Qwen3.5 MoE
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Base model
