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AI 모델 449
- gemma-4-26B-A4B-it-qat-uncensored-heretic-UDmerge-GGUF↗
EZForever
**UPDATE 2026-07-20:** Download & use Google's new chat template from here for better speed and accurancy. See Unsloth's post for details. *WARNING: Created with heavy LLM assistance (Zoo Code + DeepSeek-V4-Flash). Use at your own discretion.* Cosplayed Frankenstein and grafted/"merged" [llmfan46's][QAT BF16] abliterated tensors onto [Unsloth's][QAT UD-Q4_K_XL] lossless Q4_0 quant. Should yield better accurancy and refusal rate than a naive abliterated Q4_0 quant.
- wavlm-large↗
Microsoft
The large model pretrained on 16kHz sampled speech audio. When using the model, make sure that your speech input is also sampled at 16kHz. **Note**: This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model **speech recognition**, a tokenizer should be created and the model should be fine-tuned on labeled text data. Check out this blog for more in-detail explanation of how to fine-tune the model. - 60,000 hours of Libri-Light - 10,000 hours of GigaSpeech - 24,000 hours of VoxPopuli
- qwen3-8b-heretic↗
DreamFast
An abliterated version of Qwen's Qwen3-8B created using Heretic v1.2.0 (git master). This model has reduced refusals while maintaining model quality, making it suitable as an uncensored text encoder for image generation models like Klein 9B. Available in five quantization formats for ComfyUI: FP8, INT8 (ConvRot row-wise), INT4 (W4A4 ConvRot), NVFP4, and MXFP8, all produced with SVD-guided learned rounding for maximum fidelity. You can see the docker, scripts and configurations used to make these files on Heretic Docker Github.
- pony-v7-base↗
purplesmartai
Pony V7 is a versatile character generation model based on AuraFlow architecture. It supports a wide range of styles and species types (humanoid, anthro, feral, and more) and handles character interactions through natural language prompts. First, let me introduce Fictional - our multimodal platform where AI Characters come alive through text, images, voice, and (soon) video. Powered by PonyV7, V6, Chroma, Seedream 4, and other advanced models, Fictional lets you discover, create, and interact with characters who live their own lives and share their own stories. Fictional is also what enables the development of models like V7, so if you're excited about the future of multimodal AI characters, please download Fictional on iOS or Android and help shape our future!
- gpt-oss-safeguard-120b-MLX-MXFP4↗
lmstudio-community
_👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord_. **Model creator**: openai **Original model**: gpt-oss-safeguard-120b **MLX quantization**: provided by LM Studio team using mlx_lm LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
- unispeech-large-1500h-cv↗
Microsoft
The large model pretrained on 16kHz sampled speech audio and phonetic labels. When using the model make sure that your speech input is also sampled at 16kHz and your text in converted into a sequence of phonemes. **Note**: This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model **speech recognition**, a tokenizer should be created and the model should be fine-tuned on labeled text data. Check out this blog for more in-detail explanation of how to fine-tune the model. Authors: Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang
- Ornith-1.0-9B-MLX-8bit↗
lmstudio-community
_👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord_. **Model creator**: deepreinforce-ai **Original model**: Ornith-1.0-9B **MLX quantization**: provided by LM Studio team using mlx_vlm LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
- Seedream 4.5↗
字节跳动
Seedream 4.5 API(APIMart):字节跳动推出的 4K 文生图模型,文字渲染精准,支持多张参考图输入并批量生成图像。开通会员,API 调用立省20%起。
- Magistral-Small-2506-MLX-4bit↗
lmstudio-community
*👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** mistral-ai **Original model**: magistral-small **MLX quantization:** provided by LM Studio team using mlx_lm LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
- LLaVA-Bielik-11b-v2.6-instruct↗
NASK-PIB
This model is the first Polish-focused Vision-Language Model (VLM), created by extending the open-source LLaVA architecture with the Bielik language model. Our pipeline integrates high-quality multimodal instruction tuning with Bielik’s strong Polish linguistic abilities, resulting in a VLM that demonstrates significantly improved understanding of Polish language, culture, and context-specific visual reasoning. The model is intended for research and development purposes, specifically focusing on multimodal tasks requiring the Polish language and cultural context. It can be used directly for: This model can be fine-tuned or integrated into larger applications to support specific use cases, such as: * **Accessibility Tools:** Creating applications that describe surroundings or digital content to visually impaired Polish speakers. * **E-commerce:** Generating automated product descriptions based on images for Polish marketplaces. * **Educational Assistants:** Developing tutoring systems that can explain visual content (diagrams, historical photos) to students in Polish. * **Specialized Fine-tuning:** The model can be further fine-tuned on domain-specific datasets (e.g., Polish medical imaging reports or legal document analysis) to improve performance in niche sectors.
