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A complete NInfer artifact derived from huihui-ai/Huihui-Qwen3.8-27B-abliterated revision `d42ca8978c5a66e92c3446d46e8adfe03ef692ff`. The artifact combines NInfer's fixed **FP8 + NVFP4** Qwen3.8 allocation with same-source Huihui BF16 norms, embeddings, vision tower, and MTP tensors. No official Qwen or unrelated behavioral checkpoint supplies model weights. The v3 file preserves all 1,118 original tensor encodings and the entire original payload byte-for-byte. It appends the maintained Qwen3.8 chat template and adds the v3 directory and bindings. This is a container/template update, not a new quantization. It does not add an indexed proposal head or DFlash2 weights; omit `--lm-head-draft` and `--spec dflash2`.

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Quantized GGUF copies of MiniMax-M3.1-Flash for Sparsa. Most of these files do not load in stock llama.cpp, LM Studio or Ollama; use Sparsa, latest release v0.1.3. Each tier is a folder of 13 parts; point Sparsa at the folder. Quality is measured against an FP32 reference of the original weights, 6 short prompts, 679 positions: **top-1** is how often the tier's top next token matches the reference (higher is better), **KL64** is divergence over the reference's top 64 tokens (lower is better). `IQ2_XS` is only measured in patched llama.cpp on a harder eight-prompt set (top-1 46.8 %, KL 1.92; `IQ2_XS-D3` on that set: 53.8 %, 1.58), so the number is not comparable with the table. `Sparsa only` means upstream llama.cpp cannot read those expert types. The experts were trained as 4-bit (NVFP4), so the 1-2-bit tiers are degraded, and one hard code prompt pulls every mean down.

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Consider supporting me on Patreon or buy me a coffee - https://www.patreon.com/Lykon275 - https://snipfeed.co/lykon You can run this model on: - https://huggingface.co/spaces/Lykon/DreamShaper-webui - Mage.space, sinkin.ai and many more

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AnyLoRA

Lykon

`lykon/AnyLoRA` is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5. Please consider supporting me: - on Patreon - or buy me a coffee For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.

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Also please support by giving 5 stars and a heart, which will notify new updates. Please consider supporting me on Patreon or buy me a coffee - https://www.patreon.com/Lykon275 - https://snipfeed.co/lykon You can run this model on: - https://huggingface.co/spaces/Lykon/DreamShaper-webui - Mage.space, sinkin.ai and more

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`lykon/dreamshaper-7` is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5. Please consider supporting me: - on Patreon - or buy me a coffee For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.

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`lykon/dreamshaper-8` is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5. Please consider supporting me: - on Patreon - or buy me a coffee For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.

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`lykon/dreamshaper-8-lcm` is a Stable Diffusion model that has been fine-tuned on runwayml/stable-diffusion-v1-5. Please consider supporting me: - on Patreon - or buy me a coffee For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.

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`lykon/dreamshaper-xl-lightning` is a Stable Diffusion model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0. Please consider supporting me: - on Patreon - or buy me a coffee For more general information on how to run text-to-image models with 🧨 Diffusers, see the docs.

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