Instructions to use yeasah/Muse-Glimmer-30B-exl3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yeasah/Muse-Glimmer-30B-exl3 with Transformers:

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

pipe = pipeline("image-text-to-text", model="yeasah/Muse-Glimmer-30B-exl3")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("yeasah/Muse-Glimmer-30B-exl3", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use yeasah/Muse-Glimmer-30B-exl3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "yeasah/Muse-Glimmer-30B-exl3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yeasah/Muse-Glimmer-30B-exl3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/yeasah/Muse-Glimmer-30B-exl3

SGLang

How to use yeasah/Muse-Glimmer-30B-exl3 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 "yeasah/Muse-Glimmer-30B-exl3" \
    --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": "yeasah/Muse-Glimmer-30B-exl3",
		"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 "yeasah/Muse-Glimmer-30B-exl3" \
        --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": "yeasah/Muse-Glimmer-30B-exl3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use yeasah/Muse-Glimmer-30B-exl3 with Docker Model Runner:
```
docker model run hf.co/yeasah/Muse-Glimmer-30B-exl3
```

Muse-Glimmer-30B-exl3 / thresholds.json

yeasah

Muse-Glimmer-30B-exl3: model card, results and traces

70e6bc1 verified 19 days ago

Raw History Blame Contribute Delete

143 Bytes

[
 {
  "repo": "RedHatAI/Muse-Glimmer-30B-FP8-block",
  "revision": "1deb4641ff84f9a728dd11b27cac1f6a02a9ed14",
  "engine": "transformers"
 }
]

	[
	{
	"repo": "RedHatAI/Muse-Glimmer-30B-FP8-block",
	"revision": "1deb4641ff84f9a728dd11b27cac1f6a02a9ed14",
	"engine": "transformers"
	}
	]