Gemma-4-12B-StyleTune
Gryphe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 ↗DISCOVER & COMPARE
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View details ↗Gemma-4-31B-StyleTune
Gryphe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 ↗MergeMonster
Gryphe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 ↗MythoMax 13B
grypheOne of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
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$0.08 / M input tokensOpenRouter · gryphe/mythomax-l2-13b
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View details ↗Various-Quants
Gryphe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 ↗iLLaDA-8B-Base
GSAI-ML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 ↗iLLaDA-8B-Instruct
GSAI-ML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 ↗LLaDA-1.5
GSAI-MLWe introduce LLaDA 1.5, a competitive large diffusion language model, trained by variance-reduced preference optimization (VRPO), as presented in the paper LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. Compared with LLaDA-8B-Instruct, LLaDA 1.5 achieves better performance on a wide range of tasks, including Math, Code, and Alignment tasks.
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View details ↗LLaDA-8B-Base
GSAI-MLWe introduce LLaDA, a diffusion model with an unprecedented 8B scale, trained entirely from scratch, rivaling LLaMA3 8B in performance.
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View details ↗LLaDA-8B-Instruct
GSAI-MLWe introduce LLaDA, a diffusion model with an unprecedented 8B scale, trained entirely from scratch, rivaling LLaMA3 8B in performance.
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View details ↗LLaDA-V
GSAI-ML--- **Update (March 2026):** We are excited to introduce LLaDA-o, the latest model in the LLaDA series. As an effective and length-adaptive omni diffusion model for unified multimodal understanding and generation, LLaDA-o extends the LLaDA line to broader multimodal settings, supporting visual understanding, text-to-image generation, and instruction-based image editing. For more details, please check out the paper and code. --- We introduce LLaDA-V, a competitive diffusion-based vision-language model that outperforms other diffusion MLLMs. It was presented in the paper LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning.
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View details ↗ReFusion
GSAI-ML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 ↗ViGoRL-7b-Spatial
gsarch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 ↗biobert-nli
gsarti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 ↗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 ↗opus-mt-tc-en-pl
gsarti**Update: The model is currently not functional. Please refer to the original checkpoint in the Tatoeba repository for a working version** *This model was obtained by running the script convert_marian_to_pytorch.py with the flag `-m eng-pol`. The original models were trained by J�rg Tiedemann using the MarianNMT library. See all available `MarianMTModel` models on the profile of the Helsinki NLP group.*
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View details ↗Qwen3.8-27B-Coder390
gsdavidp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 ↗Counterfeit-V2.0
gsdf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 ↗Counterfeit-V2.5
gsdfV2.5 has been updated for ease of use as anime-style model. I use this embedding for negative prompts. https://huggingface.co/datasets/gsdf/EasyNegative
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View details ↗CounterfeitXL
gsdf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 ↗No matching models
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