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AI 모델 84755

• opus-mt-tc-big-en-pt-ct2-float16↗

  ooeoeo

• Grug-67B-A2B-Datakit-SFT-262K-2026.09.21↗

  open-athena

• InternVL3_5-241B-A28B-HF↗

  OpenGVLab

• pvt_v2_b2_linear↗

  OpenGVLab

• gpt-oss-20b-int4-ov↗

  OpenVINO

• MediaPipe-Pose-Estimation↗

  qualcomm

• Llama3.1-8B-Chinese-Chat-GGUF↗

  QuantFactory

• N-ATLaS-GGUF↗

  QuantFactory

  N-ATLaS-LLM is a fine-tuned multilingual language model based on Llama-3 8B, specifically designed to support African languages, including Hausa, Igbo, and Yoruba alongside English. This model is powered by **Awarri Technologies** an initiative of the **Federal Ministry of Communications, Innovation and Digital Economy** as part of the Nigerian Languages AI Initiative to promote digital inclusion and preserve African linguistic heritage in the digital age. N-ATLaS-LLM is built on the Llama architecture and has been fine-tuned on over 400 million tokens of multilingual instruction data. The model demonstrates strong performance across multiple African languages while maintaining excellent English capabilities. N-ATLaS-LLM was trained on approximately **391,956,264 tokens** of quality multilingual instruction data.

• gemma-3-12b-it-quantized.w4a16↗

  RedHatAI

• Ministral-3-14B-Instruct-2512↗

  RedHatAI