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AI 模型 85003
- FLUX.1-dev-INT8-ConvRot↗
AX1Y2JP
- Llama3-Crab-DPO-GGUF↗
bartowski
- MS-Schisandra-22B-v0.3-GGUF↗
bartowski
- Prismatic-12b-GGUF↗
bartowski
- Tower-Babel_Babel-83B-Chat-GGUF↗
bartowski
- zerofata_MS3.2-PaintedFantasy-v4-24B-GGUF↗
bartowski
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: You can either specify a new local-dir (zerofata_MS3.2-PaintedFantasy-v4-24B-Q8_0) or download them all in place (./)
- vllm-translategemma-12b-it↗
chbae624
This is a modified version of google/translategemma-12b-it optimized for deployment with vLLM. **No retraining was performed.** Only configuration files and the chat template were modified. Model weights are identical to the original. As of 2025-01-29, vLLM does not natively support TranslateGemma's custom structured input format. See vllm-project/vllm#32446 for the upstream tracking issue. Until that is merged, this repo provides a workaround by modifying configuration files to make TranslateGemma compatible with vLLM's standard chat API.
- hayate↗
choogee
- AuraFlow-v0.3-gguf↗
city96
Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions.
- Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B-gguf↗
DavidAU
WARNING: NSFW. Vivid prose. INTENSE. Visceral Details. HORROR. Swearing. UNCENSORED... humor, romance, fun. A float 32 high precision M.O.E model, quanted in float 32 with additional upgraded and augmented quants too. Even Q2k (the smallest quant) "burns brightly" due to MOE model type, float 32 transfer and quant augments. It is a Mistral model, max context of 32k (32768) using mixture of experts to combine FOUR top Mistral 7B models into one massive powerhouse at 24B parameters (equal to 28B - 4 X 7 B).