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AI モデル 84759

• Aquila-135M-Intermediate↗

  BAAI

• allura-org_remnant-mn-12b-GGUF↗

  bartowski

• deepseek-ai_DeepSeek-V3.1-GGUF↗

  bartowski

  All quants made using imatrix option with dataset from here combined with a subset of combined_all_small.parquet from Ed Addario here Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:

• Qwen2.5-Math-72B-Instruct-GGUF↗

  bartowski

• ttga3↗

  bdxsss

• OPEN-SOLAR-KO-10.7B↗

  beomi

• Qwen2.5-0.5B-Instruct-Gensyn-Swarm-territorial_zealous_lobster↗

  Bobalo

• twitter-roberta-base-emotion-latest↗

  cardiffnlp

• Qwen3-TTS-GGUF↗

  CC-TM

• clef-flash↗

  Cloudflare

  - **Announcement:** Clef decision models on the Cloudflare blog - **Decision Index leaderboard:** clef-evals.workers-ai-mle.workers.dev Clef-Flash is a 9B multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, or video, and returns a probability for every allowed option of every question in a single forward pass. There is no free-form text generation and no output parsing. Clef-Flash is post-trained from Qwen/Qwen3.5-9B. See Clef for the larger variant.