Hito 1.7B is a GGUF quantized version model optimized for tools such as llama.cpp, Ollama, and LM Studio. It has 1.7 billion parameters and uses the Nested Cognitive Reasoning (NCR) method, enabling a structured and self-correcting thinking mode to improve the accuracy and transparency of reasoning.

Natural Language ProcessingGgufEnglish

Seed-Coder-8B-Instruct is a powerful open-source code model with features such as model-centricity, transparency, and high performance, and it performs excellently in various coding tasks.

Natural Language ProcessingTransformers

Eagle 2 is a high-performance vision-language model family that focuses on transparency in data strategies and training schemes, aiming to drive the open-source community in developing competitive vision-language models.

MultimodalTransformersOther

TransPixar is a text-to-video generation model capable of producing RGBA videos with transparency (alpha channel)

Computer VisionDiffusers

CrystalChat-7B-Web2Code is a multimodal large language model based on the CrystalChat-7B large language model, specifically designed for generating HTML code from web page images. This model draws on the training method of LLaVa-v1.5, features full open source and high transparency, and supports generating corresponding HTML code from hand-drawn images or existing web pages.

MultimodalTransformersEnglish

Fugaku-LLM is a domestically produced large language model in Japan, pre-trained from scratch using the supercomputer 'Fugaku.' It boasts high transparency and security, with particularly outstanding performance in Japanese.

Natural Language ProcessingTransformersMultiple Languages