Instructions to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 with Transformers:

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

pipe = pipeline("text-generation", model="aitf-its-tim3-dfk/ministral-8b-merged-ws3")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("aitf-its-tim3-dfk/ministral-8b-merged-ws3")
model = AutoModelForMultimodalLM.from_pretrained("aitf-its-tim3-dfk/ministral-8b-merged-ws3")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aitf-its-tim3-dfk/ministral-8b-merged-ws3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aitf-its-tim3-dfk/ministral-8b-merged-ws3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/aitf-its-tim3-dfk/ministral-8b-merged-ws3

SGLang

How to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 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 "aitf-its-tim3-dfk/ministral-8b-merged-ws3" \
    --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": "aitf-its-tim3-dfk/ministral-8b-merged-ws3",
		"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 "aitf-its-tim3-dfk/ministral-8b-merged-ws3" \
        --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": "aitf-its-tim3-dfk/ministral-8b-merged-ws3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use aitf-its-tim3-dfk/ministral-8b-merged-ws3 with Docker Model Runner:
```
docker model run hf.co/aitf-its-tim3-dfk/ministral-8b-merged-ws3
```

spuuntries commited on 29 days ago

Commit

521a01e

1 Parent(s): 4896b48

docs: tidy up metrics

Browse files

Files changed (1) hide show

README.md +12 -12

README.md CHANGED Viewed

@@ -168,7 +168,7 @@ tags:
 .fo-row .fo-v:only-child { grid-column: 1 / -1; }
 /* ── Metric cards ── */
-.fo-metrics { display: grid; grid-template-columns: repeat(4, 1fr); gap: 12px; margin-bottom: 18px; }
 .fo-metric {
   background: var(--card); border: 1px solid var(--edge);
   border-radius: 8px; padding: 16px 10px 14px;
@@ -437,10 +437,6 @@ tags:
 <div class="fo-mval">77.3</div>
 <div class="fo-mlbl">BERTScore F1</div>
 </div>
-<div class="fo-metric">
-<div class="fo-mval">31.6</div>
-<div class="fo-mlbl">ROUGE-L F1</div>
-</div>
 </div>
 <h3 class="fo-sub">Text-Only Task</h3>
@@ -457,10 +453,6 @@ tags:
 <div class="fo-mval">77.6</div>
 <div class="fo-mlbl">BERTScore F1</div>
 </div>
-<div class="fo-metric">
-<div class="fo-mval">31.5</div>
-<div class="fo-mlbl">ROUGE-L F1</div>
-</div>
 </div>
 <details>
@@ -471,12 +463,14 @@ tags:
 <thead>
 <tr>
 <th>Model</th>
-<th>Multimodal Acc</th>
-<th>Multimodal F1w</th>
-<th>Multimodal BERT</th>
 <th>Text Acc</th>
 <th>Text F1w</th>
 <th>Text BERT</th>
 </tr>
 </thead>
 <tbody>
@@ -485,27 +479,33 @@ tags:
 <td class="fo-cmp-warm">92.5</td>
 <td class="fo-cmp-warm">92.3</td>
 <td class="fo-cmp-warm">80.0</td>
 <td class="fo-cmp-dim">77.5</td>
 <td class="fo-cmp-dim">70.8</td>
 <td class="fo-cmp-dim">73.1</td>
 </tr>
 <tr>
 <td>Text Adapter</td>
 <td class="fo-cmp-dim">1.5</td>
 <td class="fo-cmp-dim">2.8</td>
 <td class="fo-cmp-dim">69.6</td>
 <td class="fo-cmp-warm">84.0</td>
 <td class="fo-cmp-warm">89.0</td>
 <td class="fo-cmp-warm">80.7</td>
 </tr>
 <tr class="fo-cmp-row-merge">
 <td><strong>SLERP Merge</strong></td>
 <td class="fo-cmp-sage">88.5</td>
 <td class="fo-cmp-sage">89.4</td>
 <td class="fo-cmp-sage">77.3</td>
 <td class="fo-cmp-sage">91.0</td>
 <td class="fo-cmp-sage">92.9</td>
 <td class="fo-cmp-sage">77.6</td>
 </tr>
 </tbody>
 </table>

 .fo-row .fo-v:only-child { grid-column: 1 / -1; }
 /* ── Metric cards ── */
+.fo-metrics { display: grid; grid-template-columns: repeat(3, 1fr); gap: 12px; margin-bottom: 18px; }
 .fo-metric {
   background: var(--card); border: 1px solid var(--edge);
   border-radius: 8px; padding: 16px 10px 14px;
 <div class="fo-mval">77.3</div>
 <div class="fo-mlbl">BERTScore F1</div>
 </div>
 </div>
 <h3 class="fo-sub">Text-Only Task</h3>
 <div class="fo-mval">77.6</div>
 <div class="fo-mlbl">BERTScore F1</div>
 </div>
 </div>
 <details>
 <thead>
 <tr>
 <th>Model</th>
+<th>MM Acc</th>
+<th>MM F1w</th>
+<th>MM BERT</th>
+<th>MM ROUGE</th>
 <th>Text Acc</th>
 <th>Text F1w</th>
 <th>Text BERT</th>
+<th>Text ROUGE</th>
 </tr>
 </thead>
 <tbody>
 <td class="fo-cmp-warm">92.5</td>
 <td class="fo-cmp-warm">92.3</td>
 <td class="fo-cmp-warm">80.0</td>
+<td class="fo-cmp-warm">38.7</td>
 <td class="fo-cmp-dim">77.5</td>
 <td class="fo-cmp-dim">70.8</td>
 <td class="fo-cmp-dim">73.1</td>
+<td class="fo-cmp-dim">19.0</td>
 </tr>
 <tr>
 <td>Text Adapter</td>
 <td class="fo-cmp-dim">1.5</td>
 <td class="fo-cmp-dim">2.8</td>
 <td class="fo-cmp-dim">69.6</td>
+<td class="fo-cmp-dim">16.2</td>
 <td class="fo-cmp-warm">84.0</td>
 <td class="fo-cmp-warm">89.0</td>
 <td class="fo-cmp-warm">80.7</td>
+<td class="fo-cmp-warm">41.6</td>
 </tr>
 <tr class="fo-cmp-row-merge">
 <td><strong>SLERP Merge</strong></td>
 <td class="fo-cmp-sage">88.5</td>
 <td class="fo-cmp-sage">89.4</td>
 <td class="fo-cmp-sage">77.3</td>
+<td class="fo-cmp-sage">31.6</td>
 <td class="fo-cmp-sage">91.0</td>
 <td class="fo-cmp-sage">92.9</td>
 <td class="fo-cmp-sage">77.6</td>
+<td class="fo-cmp-sage">31.5</td>
 </tr>
 </tbody>
 </table>