Instructions to use AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb with Transformers:

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

pipe = pipeline("image-text-to-text", model="AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb

SGLang

How to use AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb 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 "AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb" \
    --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": "AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb",
		"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 "AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb" \
        --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": "AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb",
    max_seq_length=2048,
)

Docker Model Runner
How to use AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb with Docker Model Runner:
```
docker model run hf.co/AlexanderKyng/Qwen3.6-27B-Fusion-711-Uncensored-MTP-48gb
```

AlexanderKyng commited on 3 days ago

Commit

c1f174d

verified ·

1 Parent(s): 2da679b

Update README.md

Browse files

Corrects an error made on the model's name inside of llama-server command.

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -76,7 +76,7 @@ As previously disclosed, the `mmproj` file will **not** hold on the GPU, if you
 ``` bash
 /path/to/llama.cpp/build/bin/llama-server \
-    -m /path/to/Qwen3.6-27B0-MTP-Q8-Opt.gguf \
     --split-mode tensor \
     --tensor-split 1,1 \
     --host 0.0.0.0 \

 ``` bash
 /path/to/llama.cpp/build/bin/llama-server \
+    -m /path/to/Qwen3.6-27B-Fusion-711-Uncensored-MTP-Q8_0-Opt.gguf \
     --split-mode tensor \
     --tensor-split 1,1 \
     --host 0.0.0.0 \