comfyui-zimage-sulphur-nvfp4
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gemma-4-12B-it-FP8-dynamic
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View details ↗Gemma-4-E4B-it-NVFP4A16
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View details ↗FP8 dynamic quantization of huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated, produced for inference on **NVIDIA DGX Spark (GB10, SM121)** under its 128 GB unified-memory budget. This is **the clean abliteration variant** quantized to FP8, distinct from existing Claude-distilled variants on the Hub. Uses llm-compressor `FP8_DYNAMIC` scheme + compressed-tensors `float-quantized` format. > ### ⚠️ Vision pipeline fix (2026-05-03) > > Pre-2026-05-03 uploads of this checkpoint had **broken vision input** — the model would emit `!!!!!` token loops on any image. Root cause: vLLM (≤0.20.0) expects vision tensor keys at `visual.*`, but `Qwen3_5MoeForConditionalGeneration` saves them under `model.language_model.visual.*`, so all 333 vision-tower tensors got silently skipped during load. > > **This is now fixed**: shard 19 + `model.safetensors.index.json` re-uploaded with the visual prefix stripped. Text-only output is unaffected. > > If you cloned the model before 2026-05-03, the cleanest path is `huggingface_hub.snapshot_download(..., force_download=True, allow_patterns=["model-00019-of-00019.safetensors", "model.safetensors.index.json"])` — only ~600 MB of changed weights. > > Diagnosis + remap script: see `remap_visual_path.py` in this repo.
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View details ↗MiniMax-H3-pruned-NVFP4
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View details ↗Sulphur-2-distilled-NVFP4
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View details ↗Sulphur-2-distilled-Q4_K_M-GGUF
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View details ↗Qwen2.5-Coder-0.5B-Merge-Resolver
CooperBench基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗BooruNL-0.8B-GGUF
cooperdk基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗deberta-v3-large_toxicity-scorer
cooperleong00基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen2.5-7B-Instruct-Jailbroken
cooperleong00基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗polyBERT
cooperzvegintzov基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗causalista-4b
coppead基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗XTTS-v1
coqui基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗XTTS-v2
coquiⓍTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. There is no need for an excessive amount of training data that spans countless hours. XTTS-v2 supports 17 languages: **English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko) Hindi (hi)**. Stay tuned as we continue to add support for more languages. If you have any language requests, feel free to reach out!
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View details ↗roest-v2-wav2vec2-315m
CoRal-project基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗roest-v3-wav2vec2-315m
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View details ↗roest-v3-whisper-1.5b
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View details ↗russian_spam_detector
corall88基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗GolemPII-v1
CordwainerSmith基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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