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AI 模型 84760

• MyAwesomeModel-TestRepo↗

  ASDASD12321WSX

• Qwen3.8-Flash-Next-Uncensored-GGUF↗

  AtomicChat

  One refusal direction projected out of Qwen's original weights, shipped two ways: three baked GGUF builds, and a 318 MB LoRA adapter for the Flash-Next quants you already have. The measurements behind this card are public. Built by the team behind Atomic Chat , the app that runs open-weight models locally and offline. On held-out prompts, refusals fall from 92.6% to 1.2% in English, and to none of 30 with thinking on. MMLU moves by 0.5 points, inside the noise. The 93.9 GB build matches the original's token choice 91.1% of the time: closer to the original than our published 94.5 GB quant of the unmodified model (89.6%). Already running our Flash-Next quants ? Add the adapter with --lora-scaled instead of downloading a new model. *28 Oct 2026: re-split from 2 GB shards into three files per build: the weights in two, cut at 45 GB, and the n-gram table in a third of its own. The weights are unchanged (tensor-for-tensor identical).*

• allura-forge_Llama-3.3-8B-Instruct-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:

• Behemoth-123B-v1.2-GGUF↗

  bartowski

• c4ai-command-r-08-2024-GGUF↗

  bartowski

• Llama-3.1_OpenScholar-8B-GGUF↗

  bartowski

• Qwen3.8-27B-Heretic-Ara-16GB-VRAM-IQ4-XS-MTP-GGUF↗

  Bucoid

  本模型基于 **Qwen 3.8 27B Heretic‑Ara BF16** 进行 IQ4_XS 量化（4‑bit），文件体积为 **12.7-13.3 GiB**，专为 16GB 显存的显卡优化 8/22 Updated and fixed the issues with thinking; model performance remains unchanged It will probably take about another day for me to update the MTP version. 8/23 更新，对模型本身的性能进行一定优化，体积略微变大，无MTP版本13Gib，MTP版本13.3Gib 8/23 Update: The model's performance has been slightly optimized, resulting in a slight increase in size The non-MTP version is 13GiB, while the MTP version is 13.3GiB

• Poseidon-L↗

  camlab-ethz

• OpenCodeInterpreter-DS-6.7B-SOTA-GGUF↗

  CISCai

• Lens↗

  Comfy-Org

  - https://huggingface.co/microsoft/Lens (mit) - https://huggingface.co/openai/gpt-oss-20b (apache-2.0) - https://huggingface.co/black-forest-labs/FLUX.2-dev (apache-2.0)