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README.md
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With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.
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This model is an instruction-finetuned version of: Mistral-Small-3.1-24B-Base-2503.
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Mistral Small 3.1 can be deployed locally and is exceptionally
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"knowledge-dense," fitting within a single RTX 4090 or a 32GB RAM
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MacBook once quantized.
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It is ideal for:
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-Fast-response conversational agents.
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Key Features
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-Vision: Vision capabilities enable the model to analyze images and provide insights based on visual content in addition to text.
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-Multilingual: Supports dozens of languages,including English, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Malay, Nepali, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Swedish, Turkish, Ukrainian, Vietnamese, Arabic, Bengali, Chinese, Farsi.
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With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.
|
| 46 |
This model is an instruction-finetuned version of: Mistral-Small-3.1-24B-Base-2503.
|
| 47 |
|
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| 48 |
Mistral Small 3.1 can be deployed locally and is exceptionally
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| 49 |
"knowledge-dense," fitting within a single RTX 4090 or a 32GB RAM
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| 50 |
MacBook once quantized.
|
| 51 |
|
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|
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| 52 |
It is ideal for:
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| 53 |
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| 54 |
-Fast-response conversational agents.
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Key Features
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| 74 |
-
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|
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| 75 |
-Vision: Vision capabilities enable the model to analyze images and provide insights based on visual content in addition to text.
|
| 76 |
|
| 77 |
-Multilingual: Supports dozens of languages,including English, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Malay, Nepali, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Swedish, Turkish, Ukrainian, Vietnamese, Arabic, Bengali, Chinese, Farsi.
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