TinyLlama/TinyLlama-1.1B-Chat-v1.0

apache-2.0

TinyLlama-1.1B The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve...

text generationBy TinyLlama

microsoft/OmniParser-v2.0

mit

📢 GitHub Repo( OmniParser V2 Blog Post( Huggingface demo( Model Summary OmniParser is a general screen parsing tool, which interprets/conve...

GeneralBy microsoft

prompthero/openjourney-v4

creativeml-openrail-m

Openjourney v4 Trained on +124k Midjourney v4 images, by PromptHero( Trained on Stable Diffusion v1.5 using +124000 images, 12400 steps, 4 e...

text to imageBy prompthero

cognitivecomputations/dolphin-2.5-mixtral-8x7b

apache-2.0

Dolphin 2.5 Mixtral 8x7b 🐬 !Discord( Discord: This model's training was sponsored by convai( This model is based on Mixtral-8x7b The base m...

text generationBy cognitivecomputations

mistralai/Mistral-Small-3.1-24B-Instruct-2503

apache-2.0

Model Card for Mistral-Small-3.1-24B-Instruct-2503 Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art visi...

image text to textBy mistralai

google-bert/bert-base-chinese

Bert-base-chinese Table of Contents - Model Details(model-details) - Uses(uses) - Risks, Limitations and Biases(risks-limitations-and-biases...

fill maskBy google-bert

ByteDance/Hyper-SD

Hyper-SD Official Repository of the paper: Hyper-SD( Project Page: !(./hypersdtearser.jpg) News🔥🔥🔥 Aug.26, 2024. 💥💥💥 Our 8-steps and 1...

text to imageBy ByteDance

stabilityai/stable-audio-open-1.0

other

Visit HuggingFace for more details.

text to audioBy stabilityai

deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

mit

DeepSeek-R1 Paper Link👁️ 1. Introduction We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-...

text generationBy deepseek-ai

Qwen/Qwen2-VL-7B-Instruct

apache-2.0

Qwen2-VL-7B-Instruct Introduction We're excited to unveil Qwen2-VL, the latest iteration of our Qwen-VL model, representing nearly a year of...

image text to textBy Qwen
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