Instructions to use m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA with Transformers:

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

pipe = pipeline("text-generation", model="m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA

SGLang

How to use m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA 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 "m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA" \
    --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": "m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA",
		"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 "m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA" \
        --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": "m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA with Docker Model Runner:
```
docker model run hf.co/m-polignano/ANITA-NEXT-24B-Magistral-2506-ITA
```

m-polignano commited on Aug 11, 2025

Commit

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@@ -25,7 +25,7 @@ tags:
 <hr>
 <!--<img src="https://i.ibb.co/6mHSRm3/llamantino53.jpg" width="200"/>-->
 <h3><i>"Built on <b>mistral/Magistral-Small-2506</b>"</i></i></h3>
-<p style="text-align:justify;"><b>NITA-NEXT-24B-Magistral-2506-ITA</b> is a <b>Thinking Model</b> of the <a href="https://arxiv.org/abs/2405.07101"><b>ANITA</b></a> - <i>Large Language Models family</i>.
 The model is a fine-tuned version of <a href="https://huggingface.co/mistralai/Magistral-Small-2506"><b>Magistral-Small-2506</b></a> (a fine-tuned <b>Magistral model</b>).
 This model version aims to be the a <b>Multilingual Model</b> 🏁  (EN 🇺🇸 + ITA🇮🇹) to further fine-tuning on Specific Tasks in Italian.</p>

 <hr>
 <!--<img src="https://i.ibb.co/6mHSRm3/llamantino53.jpg" width="200"/>-->
 <h3><i>"Built on <b>mistral/Magistral-Small-2506</b>"</i></i></h3>
+<p style="text-align:justify;"><b>ANITA-NEXT-24B-Magistral-2506-ITA</b> is a <b>Thinking Model</b> of the <a href="https://arxiv.org/abs/2405.07101"><b>ANITA</b></a> - <i>Large Language Models family</i>.
 The model is a fine-tuned version of <a href="https://huggingface.co/mistralai/Magistral-Small-2506"><b>Magistral-Small-2506</b></a> (a fine-tuned <b>Magistral model</b>).
 This model version aims to be the a <b>Multilingual Model</b> 🏁  (EN 🇺🇸 + ITA🇮🇹) to further fine-tuning on Specific Tasks in Italian.</p>