This is the quantized version of the ai-sage/GigaChat3-702B-A36B-preview-bf16 model, aiming to provide the public with a free way to access knowledge. This model is a large language model focusing on text generation tasks.

Natural Language ProcessingGguf

Olmo 3 is a new generation of language model family developed by the Allen Institute for AI, including 7B and 32B instruction and thinking variants. This model performs excellently in long-chain thinking and can significantly improve the performance of reasoning tasks such as mathematics and coding. All code, checkpoints, and training details will be made public to promote the development of language model science.

Natural Language ProcessingTransformersEnglish

This project provides a quantized version of the cerebras/MiniMax-M2-REAP-172B-A10B model, aiming to make knowledge accessible to the public. This is a large language model with 172 billion parameters, which has been optimized and quantized to reduce deployment costs and improve inference efficiency.

Natural Language ProcessingGguf

This project is a quantized version based on the MiniMaxAI/MiniMax-M2 model, aiming to make knowledge accessible to the public. It provides multiple model versions with different quantization levels and shows the perplexity performance indicators of each version.

Natural Language ProcessingGguf

GLM-4.6 is a new-generation text generation model launched by Zhipu AI. Compared with GLM-4.5, it has significant improvements in multiple aspects, including a longer context window, better coding performance, and stronger reasoning ability. This model performs excellently in multiple public benchmark tests and has a competitive advantage compared with leading models at home and abroad.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.6 is a new-generation large language model developed by Zhipu AI. Compared with GLM-4.5, it has significant improvements in context processing, coding ability, and reasoning performance. This model supports a context length of 200K and performs excellently in multiple public benchmark tests, especially having competitive advantages in code generation, reasoning, and agent tasks.

Natural Language ProcessingTransformersMultiple Languages

Seed-OSS is an open-source large language model series developed by the ByteDance Seed team. It has powerful long context processing, reasoning, and agent interaction capabilities. Trained with only 12T tokens, it performs excellently in multiple public benchmark tests and supports native long context processing of up to 512K.

Natural Language ProcessingTransformers

Seed-OSS is an open-source large language model series developed by the ByteDance Seed team. It has powerful long context processing, reasoning, agent interaction capabilities, and general performance. This model was trained with only 12T tokens and performed excellently in multiple public benchmark tests.

Natural Language ProcessingTransformersMultiple Languages

parakeet-tdt-0.6b-v3 is a powerful multilingual automatic speech recognition model that supports multiple European languages such as English, Spanish, French, and German. It is based on the FastConformer-TDT architecture and trained on public datasets, providing an efficient solution for cross-lingual speech recognition.

Audio ProcessingNemoMultiple Languages

GLM-4.5V-AWQ-4bit is a quantized multimodal model built on Zhipu AI's next-generation flagship text foundation model. Optimized by AWQ-4bit quantization technology, it significantly reduces the computational resource requirements while maintaining excellent performance. This model achieves SOTA performance among models of the same scale in 42 public visual language benchmark tests and has powerful visual reasoning capabilities.

MultimodalTransformersMultiple Languages

The quantized version of UIGEN-X-8B is committed to making knowledge accessible to the public. This model is optimized based on Tesslate/UIGEN-X-8B to provide more efficient inference performance.

Natural Language ProcessingGguf

Kimi - K2 - Instruct is a quantized version based on the moonshotai/Kimi - K2 - Instruct model, aiming to make knowledge more widely accessible to the public.

Natural Language ProcessingGguf

This project is a quantized version of kakaocorp/kanana-safeguard-8b, dedicated to making knowledge accessible to the public.

Natural Language ProcessingGguf

This is a Korean natural language processing model based on the 🤗 Transformers library, trained for one epoch on the public Korean dataset from Hugging Face. It is suitable for various Korean NLP tasks.

Natural Language ProcessingTransformers

Phi-4-mini-instruct is a lightweight open model built on synthetic data and curated public web data, focusing on high-quality, inference-rich data. This model supports a context length of 128K tokens, and has undergone supervised fine-tuning and direct preference optimization, with precise instruction-following capabilities and strong security measures.

Natural Language ProcessingTransformersMultiple Languages

A binary classification image recognition model based on google/siglip2-base-patch16-224, specifically designed to detect whether people are wearing masks. It has important application value in scenarios such as public health monitoring, access control systems, and workplace compliance enforcement.

Computer VisionTransformersEnglish

The quantized version of Huihui AI's Qwen3-4B model, aiming to make knowledge more widely accessible to the public.

Natural Language ProcessingGguf

The quantized version of Qwen3-8B focuses on text generation and is committed to making knowledge accessible to the public.

Natural Language ProcessingGguf

This is the quantized version of Qwen/Qwen3-0.6B, dedicated to making knowledge accessible to the public. The model reduces the model size through quantization technology while maintaining good performance.

Natural Language ProcessingGguf

StableLM Zephyr 3B is a 3-billion-parameter instruction-tuned model trained on public datasets, synthetic datasets, and Direct Preference Optimization (DPO), delivering excellent performance.

Natural Language ProcessingGgufEnglish