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AI 模型 84759
- LongCat-Image-GGUF↗
vantagewithai
We introduce **LongCat-Image**, a pioneering open-source and bilingual (Chinese-English) foundation model for image generation, designed to address core challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility prevalent in current leading models.
- gemma-4-26B-A4B-it-heretic-GGUF↗
Vastopian
- Ornith-1.5-9B-Uncensored-GGUF↗
vonvonhero
- multilingual-e5-small↗
Xenova
https://huggingface.co/intfloat/multilingual-e5-small with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using: Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
- gptj-tiny-random↗
yujiepan
- Qwen3.5-9B-GGUF↗
Zirconium419122
- DeepSeek-V3-4layers-MTP-FP8↗
ZixiQi
- pixelartredmond-1-5v-pixel-art-loras-for-sd-1-5↗
artificialguybr
- Infinity-Instruct-3M-0625-Yi-1.5-9B↗
BAAI
Infinity-Instruct-3M-0625-Yi-1.5-9B is an opensource supervised instruction tuning model without reinforcement learning from human feedback (RLHF). This model is just finetuned on Infinity-Instruct-3M and Infinity-Instruct-0625 and showing favorable results on AlpacaEval 2.0 and MT-Bench. Infinity-Instruct-3M-0625-Yi-1.5-9B is tuned on Million-level instruction dataset Infinity-Instruct. First, we apply the foundational dataset Infinity-Instruct-3M to improve the foundational ability (math & code) of Yi-1.5-9B, and get the foundational instruct model Infinity-Instruct-3M-Yi-1.5-9B. Then we finetune the Infinity-Instruct-3M-Yi-1.5-9B to get the stronger chat model Infinity-Instruct-3M-0625-Yi-1.5-9B. Here is the training hyperparamers. Thanks to FlagScale, we could concatenate multiple training samples to remove padding token and apply diverse acceleration techniques to the traning procudure. It effectively reduces our training costs. We will release our code in the near future!
- Llama-3-8B-Ultra-Instruct-GGUF↗
backyardai