Instructions to use tachyphylaxis/Smoothie-Qwen3-235B-A22B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tachyphylaxis/Smoothie-Qwen3-235B-A22B with Transformers:

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

pipe = pipeline("text-generation", model="tachyphylaxis/Smoothie-Qwen3-235B-A22B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tachyphylaxis/Smoothie-Qwen3-235B-A22B")
model = AutoModelForCausalLM.from_pretrained("tachyphylaxis/Smoothie-Qwen3-235B-A22B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tachyphylaxis/Smoothie-Qwen3-235B-A22B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tachyphylaxis/Smoothie-Qwen3-235B-A22B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tachyphylaxis/Smoothie-Qwen3-235B-A22B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tachyphylaxis/Smoothie-Qwen3-235B-A22B

SGLang

How to use tachyphylaxis/Smoothie-Qwen3-235B-A22B 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 "tachyphylaxis/Smoothie-Qwen3-235B-A22B" \
    --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": "tachyphylaxis/Smoothie-Qwen3-235B-A22B",
		"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 "tachyphylaxis/Smoothie-Qwen3-235B-A22B" \
        --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": "tachyphylaxis/Smoothie-Qwen3-235B-A22B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use tachyphylaxis/Smoothie-Qwen3-235B-A22B with Docker Model Runner:
```
docker model run hf.co/tachyphylaxis/Smoothie-Qwen3-235B-A22B
```

Smoothie Qwen

Smoothie Qwen is a lightweight adjustment tool that smooths token probabilities in Qwen and similar models, enhancing balanced multilingual generation capabilities. For more details, please refer to https://github.com/dnotitia/smoothie-qwen.

Configuration

Base model: Qwen/Qwen3-235B-A22B
Minimum scale factor: 0.5
Smoothness: 10.0
Sample size: 1000
Window size: 4
N-gram weights: [0.5, 0.3, 0.2]

Unicode Ranges

Range 1: 0x4e00 - 0x9fff
Range 2: 0x3400 - 0x4dbf
Range 3: 0x20000 - 0x2a6df
Range 4: 0xf900 - 0xfaff
Range 5: 0x2e80 - 0x2eff
Range 6: 0x2f00 - 0x2fdf
Range 7: 0x2ff0 - 0x2fff
Range 8: 0x3000 - 0x303f
Range 9: 0x31c0 - 0x31ef
Range 10: 0x3200 - 0x32ff
Range 11: 0x3300 - 0x33ff

Statistics

Target tokens: 26,153
Broken tokens: 1,457
Modified tokens: 27,564

Downloads last month: 3

Safetensors

Model size

235B params

Tensor type

BF16

Model tree for tachyphylaxis/Smoothie-Qwen3-235B-A22B

Base model

Qwen/Qwen3-235B-A22B

Finetuned

(38)

this model