A research team from Peking University has developed an analog computing chip specifically designed for "Non-negative Matrix Factorization," significantly improving energy efficiency in processing large-scale data, providing an efficient and low-power solution for fields such as image analysis and recommendation systems.
"Suning launches the Maodian AI Intelligent Agent Matrix", driving AI from backend algorithms to front-end sales and experience-driven initiatives, marking the entry of its AI transformation into a stage of large-scale commercial implementation. The company has deeply integrated AI into the entire e-commerce and marketing supply chain and has introduced self-developed tools to optimize services.
OpenAI is testing 'Skills', codenamed 'Hazelnut', to revolutionize ChatGPT interaction by shifting from custom GPTs to flexible skill invocation, marking a paradigm shift in core engagement.....
Lemon Slice secures $10.5M seed funding from investors like Matrix Partners and Y Combinator to develop AI video avatars. Its Lemon Slice-2 model, with 20B parameters, generates dynamic avatars from a single image, offering 20 FPS live video on a single GPU via API and embeddable widgets.....
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Matrix Game 2 offers real-time interactive world generation.
DeepGEMM is a CUDA library for efficient FP8 matrix multiplication, supporting fine-grained scaling and various optimization techniques.
Minimax
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Input tokens/M
Output tokens/M
Context Length
noctrex
This is an ablation version of Olmo-3-7B-Instruct, created using the Heretic tool. It quantifies the matrix by merging combined_en_small and harmful.txt, significantly reducing the model's rejection rate while maintaining a KL divergence of 0.
mradermacher
This is a weighted/matrix quantized version of the yanolja/YanoljaNEXT-Rosetta-27B-2511 model, supporting translation tasks for 32 languages. Multiple quantized versions are provided, allowing users to balance between model size, speed, and quality according to their needs.
Weighted/matrix quantized model of Qwen2-Audio-7B-Instruct, supporting English audio-to-text transcription tasks
Remade-AI
LoRA trained on Wan2.1 14B I2V 480p model for generating bullet time effect in image-to-video content
This is a weighted/matrix quantized version of the Smilyai-labs/Sam-reason-S2.1 model, offering multiple quantization options to meet different performance and precision requirements. The model is optimized for efficient operation in resource-constrained environments.
This project provides weighted/matrix quantized versions of the llava-1.5-13b-hf model, including various quantization types to meet the usage requirements in different scenarios.
DavidAU
A horror-optimized version based on Google's Gemma-3 model, featuring extreme quantization technology and horror enhancement matrix, supporting a 32k context window
This is a weighted/matrix quantized version of the BAAI/bge-large-zh-v1.5 model, offering multiple quantization options suitable for different scenarios.
matrixportalx
This is a GGUF format version converted from the mlabonne/gemma-3-12b-it-abliterated model, specifically providing broader application possibilities for different devices and scenarios, and enhancing the model's usability and compatibility. This model supports image-text to text task processing.
matrixportal
This is a GGUF format model converted from mlabonne/gemma-3-12b-it-abliterated, suitable for large language model applications running locally.
This model is a GGUF format version converted from mlabonne/gemma-3-4b-it-abliterated, suitable for local operation and inference.
This is a GGUF-format model converted from mlabonne/gemma-3-4b-it-abliterated, specifically optimized for compatibility and inference efficiency in specific environments, offering multiple quantization versions to meet the needs of different devices.
This is the GGUF format conversion version of the mlabonne/gemma-3-1b-it-abliterated model, generated using the llama.cpp conversion tool. The model offers a variety of quantization options, suitable for different devices and scenarios, and is specially optimized for running efficiency on CPU and ARM devices.
A GGUF format model converted from mlabonne/gemma-3-1b-it-abliterated, suitable for local inference tasks
This is a weighted/matrix quantized version of the Fanbin/STEVE-R1-7B-SFT model, suitable for resource-constrained environments.
An 8B-parameter instruction-fine-tuned large language model optimized for Turkish, excelling in cultural context understanding and localized expression
Turkish Llama 8B Instruct v0.1 is an instruction - tuned language model specifically optimized for Turkish, developed based on the Llama - 3 architecture. This model performs excellently in Turkish text generation and understanding, and is particularly good at handling contexts and expressions related to Turkish culture.
Gemma 3B Instruct is a lightweight open-source large language model launched by Google. It is optimized based on a 3B parameter scale and supports multilingual tasks and quantized deployment.
Gemma 3 4B is an efficient 4B parameter instruction-tuned large language model developed by Google. It is built on the Gemma architecture and specifically optimized for dialogue and instruction-following scenarios. This model provides excellent performance while maintaining a relatively small parameter scale and supports multilingual processing, making it particularly suitable for deployment in resource-constrained environments.
LGAI's EXONE series reasoning model, featuring new matrix and extreme quantization technologies, equipped with a 32k context window, focusing on deep thinking and reasoning tasks.
This is an MCP server that provides advanced mathematical calculation capabilities for Claude, including functions such as symbolic calculation, statistical analysis, and matrix operations.
The Mapbox MCP service is a navigation and geographic search service based on the Mapbox API, providing functions such as route planning, distance matrix calculation, and location search, supporting multiple languages and various travel modes.
A mathematical computing service based on the MCP protocol and the SymPy library, providing powerful symbolic computing capabilities, including basic operations, algebraic operations, calculus, equation solving, matrix operations, etc.
matrix-mcp is a TypeScript-based MCP server that provides functions such as connecting to Matrix servers, managing chat rooms, and handling messages.
This is a mathematical calculation server based on the MCP protocol, supporting basic arithmetic operations and matrix multiplication, and is built using Python 3.13+ and the uv toolchain.
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