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AI 모델 84759

• Llama-2-7b-chat-igbo-yoruba-2024-04-12_23-35-37-GGUF↗

  afrideva

• Olmo-3-7B-Instruct-DPO↗

  allenai

  We introduce Olmo 3, a new family of 7B and 32B models both Instruct and Think variants. Long chain-of-thought thinking improves reasoning tasks like math and coding. Olmo is a series of **O**pen **l**anguage **mo**dels designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets. We are releasing all code, checkpoints, logs (coming soon), and associated training details. The quantized model is more sensitive to data types and CUDA operations. To avoid potential issues, it's recommended to pass the inputs directly to CUDA using:

• SAM3DBody-cpp-onnx-models↗

  AmmarkoV

• Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled↗

  arsovskidev

• Smart-Lemon-Cookie-7B-GGUF↗

  backyardai

• AesCode-32B-GGUF↗

  bartowski

  **Model details:** - Parameter count: 33B (source checkpoint) - Input support: text, image (with mmproj file) - details - Speculative decoding: no - imatrix: yes - details **Don't know which to choose?** Grab Q4_K_M (20.49GB) - usually a good mix of size and performance. Download instructions available here The files marked `true` in the Split column above are stored as multiple parts in a folder. To download all the parts to a local folder, run:

• Gemma-2-9B-It-SPPO-Iter3-GGUF↗

  bartowski

• starcoder2-15b-instruct-GGUF↗

  bartowski

• finki-gpt-140M↗

  Borjan

• glm-4.5-flash↗

  智谱 AI