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AI モデル 84759

• vntl-llama3-8b-v2-imatrix-gguf↗

  Casual-Autopsy

• flux1-dev-turbo-GGUF↗

  ChrisColeTech

• minimax-h3-int8-base-ref2va↗

  cokeadrink

• Whisper-Medicalv1↗

  Crystalcareai

• tanpo-marketing-GGUF↗

  d4rkninja

• Qwen2.5-Coder-32B-Instruct-NVFP4↗

  drawais

• Qwen3.8-4B-Distill-GGUF↗

  empero-ai

  GGUF quantizations of **empero-ai/Qwen3.8-4B** — a full-parameter distillation of **Qwen3.8 2.4T A95B** into the Qwen3.5-4B architecture — for llama.cpp, Ollama, LM Studio, Jan, KoboldCpp, and other stock GGUF runtimes. This card is about choosing a file and running it. The capability writeup, full benchmark results, and best practices live on the **main model card**. Headline results for the source model (CoT protocols, `lm-evaluation-harness`, identical settings base vs. student):

• Qwen3-8B-VL-Instruct-GGUF↗

  EnlistedGhost

• dinov3-convnext-tiny-pretrain-lvd1689m↗

  facebook

• mms-tts-kma↗

  facebook