Image-Text-to-Text
Transformers
Safetensors
GGUF
gemma3
any-to-any
turkish
türkiye
english
ai
lamapi
next
next-x1
efficient
text-generation
open-source
12b
huggingface
large-language-model
llm
causal
transformer
artificial-intelligence
machine-learning
ai-research
natural-language-processing
language
multilingual
multimodal
nlp
finetuned
lightweight
creative
summarization
question-answering
chat
generative-ai
optimized
unsloth
trl
sft
chemistry
code
biology
finance
legal
music
art
state-of-the-art
climate
medical
agent
text-generation-inference
Merge
dense
conversational
Update README.md
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README.md
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table { width:fit-content; border-collapse:separate; border-spacing:0 3px;font-family:system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;color:rgb(255, 255, 255)!important;background:rgb(28, 41, 59);border-radius:16px;padding: 10px; border:none;transition:.2s all ease;}
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# Next 12B sets new standards for medium-sized models across all major benchmarks.
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<td data-label="MMLU (5-shot) %"><strong>91.8</strong></td>
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<td data-label="MMLU-Pro %"><strong>78.4</strong></td>
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<td data-label="GSM8K %"><strong>94.3</strong></td>
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<td data-label="MATH %"><strong>81.2</strong></td>
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</tr>
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<tr class="next">
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<td data-label="Model">Next 4B preview
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<td data-label="MMLU (5-shot) %">84.6</td>
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<td data-label="MMLU-Pro %">66.9</td>
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<td data-label="GSM8K %">82.7</td>
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# Next 12B sets new standards for medium-sized models across all major benchmarks.
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<table>
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</thead>
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<tbody>
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<tr class="next">
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<td><strong>Next 12B</strong></td>
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<td data-label="MMLU (5-shot) %"><strong>91.8</strong></td>
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<td data-label="MMLU-Pro %"><strong>78.4</strong></td>
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<td data-label="GSM8K %"><strong>94.3</strong></td>
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<td data-label="MATH %"><strong>81.2</strong></td>
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</tr>
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<tr class="next">
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<td data-label="Model">Next 4B preview</td>
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<td data-label="MMLU (5-shot) %">84.6</td>
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<td data-label="MMLU-Pro %">66.9</td>
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<td data-label="GSM8K %">82.7</td>
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