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AI モデル 84760

• Qwen3VL_Euclid_4B-GGUF↗

  mradermacher

• Replete-Coder-Qwen2-1.5b-i1-GGUF↗

  mradermacher

• Smaug-34B-v0.1-i1-GGUF↗

  mradermacher

• Springer1.2-32B-1-i1-GGUF↗

  mradermacher

• syrian-gemma-12b-i1-GGUF↗

  mradermacher

• UnifiedReward-2.0-qwen35-9b-i1-GGUF↗

  mradermacher

• Yi-1.5-34B-32K-i1-GGUF↗

  mradermacher

• Magistral-Small-2506-abliterated-GGUF↗

  Mungert

• Meta-Llama-3.1-8B-Instruct-Q8_0-GGUF↗

  NikolayKozloff

  This model was converted to GGUF format from `camenduru/Meta-Llama-3.1-8B-Instruct` using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well. Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

• nunchaku-flux.1-schnell↗

  nunchaku-ai

  This repository contains Nunchaku-quantized versions of FLUX.1-schnell, designed to generate high-quality images from text prompts. It is optimized for efficient inference while maintaining minimal loss in performance.