Instructions to use Vortex5/Violet-Mist-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vortex5/Violet-Mist-12B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Vortex5/Violet-Mist-12B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Vortex5/Violet-Mist-12B") model = AutoModelForCausalLM.from_pretrained("Vortex5/Violet-Mist-12B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Vortex5/Violet-Mist-12B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Vortex5/Violet-Mist-12B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Vortex5/Violet-Mist-12B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Vortex5/Violet-Mist-12B
- SGLang
How to use Vortex5/Violet-Mist-12B 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 "Vortex5/Violet-Mist-12B" \ --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": "Vortex5/Violet-Mist-12B", "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 "Vortex5/Violet-Mist-12B" \ --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": "Vortex5/Violet-Mist-12B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Vortex5/Violet-Mist-12B with Docker Model Runner:
docker model run hf.co/Vortex5/Violet-Mist-12B
Update README.md
Browse files
README.md
CHANGED
|
@@ -201,7 +201,7 @@ tokenizer:
|
|
| 201 |
<h3 style="color:#c79eff;font-family:'Cinzel',serif;letter-spacing:1px;text-align:left;margin-bottom:12px;">✨ Acknowledgements</h3>
|
| 202 |
<div style="background-color:rgba(10,0,20,0.88);border-left:4px solid #8b5adf;padding:25px 30px;border-radius:8px;color:#e0ccff;text-align:left;">
|
| 203 |
<ul style="list-style:none;padding-left:10px;margin:0;">
|
| 204 |
-
<li><b>mradermacher</b> — Static &
|
| 205 |
<li><b>DeathGodlike</b> — EXL3 quants</li>
|
| 206 |
<li><b>Original model authors and contributors whose work made this model possible.</b></li>
|
| 207 |
</ul>
|
|
|
|
| 201 |
<h3 style="color:#c79eff;font-family:'Cinzel',serif;letter-spacing:1px;text-align:left;margin-bottom:12px;">✨ Acknowledgements</h3>
|
| 202 |
<div style="background-color:rgba(10,0,20,0.88);border-left:4px solid #8b5adf;padding:25px 30px;border-radius:8px;color:#e0ccff;text-align:left;">
|
| 203 |
<ul style="list-style:none;padding-left:10px;margin:0;">
|
| 204 |
+
<li><b>mradermacher</b> — Static & imatrix quants</li>
|
| 205 |
<li><b>DeathGodlike</b> — EXL3 quants</li>
|
| 206 |
<li><b>Original model authors and contributors whose work made this model possible.</b></li>
|
| 207 |
</ul>
|