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Stable Diffusion model that has been fine-tuned to be better at photorealism without sacrificing range.
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images. Img2img generate a new image from an input image with Stable Diffusion.
Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask.
Diffusion-based text-to-image generative model by Stability AI. Generates and modify images based on text prompts.
SDXL-Lightning is a lightning-fast text-to-image generation model. It can generate high-quality 1024px images in a few steps.
Accelerated transcription, word-level timestamps and diarization with whisperX large-v3.
Real-ESRGAN is a real-time photo-realistic image upscaling model.
multilingual text2image latent diffusion model
text2img model trained on LAION HighRes and fine-tuned on internal datasets
An SDXL fine-tune based on Apple Emojis
Stable diffusion fork for generating tileable outputs using v1.5 model
Automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data
50 layers deep image classification CNN trained on more than 1M images from ImageNet
UForm-Gen is a small generative vision-language model primarily designed for Image Captioning and Visual Question Answering.
DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection.
BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder.
Distilled BERT model that was finetuned on SST-2 for sentiment classification
BAAI general embedding (bge) models transform any given text into a compact vector
BAAI general embedding (bge) models transform any given text into a compact vector
BAAI general embedding (bge) models transform any given text into a compact vector
Full precision (fp16) generative text model with 7 billion parameters from Meta
Quantized (int8) generative text model with 7 billion parameters from Meta
Generation over generation, Meta Llama 3 demonstrates state-of-the-art performance on a wide range of industry benchmarks.
Instruct fine-tuned version of the Mistral-7b generative text model with 7 billion parameters
Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens.
Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens.
DeepSeekMath is initialized with DeepSeek-Coder-v1.5 7B and continues pre-training on math-related tokens.
DeepSeekMath-Instruct 7B is a mathematically instructed tuning model derived from DeepSeekMath-Base 7B.
DiscoLM German 7b is a Mistral-based large language model with a focus on German-language applications.
Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B.
This is a Gemma-2B base model that Cloudflare dedicates for inference with LoRA adapters.
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
This is a Gemma-7B base model that Cloudflare dedicates for inference with LoRA adapters.
Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes! Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2.
Llama 2 13B Chat AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Llama 2 variant.
This is a Llama2 base model that Cloudflare dedicated for inference with LoRA adapters.
Llama Guard is a model for classifying the safety of LLM prompts and responses, using a taxonomy of safety risks.
Mistral 7B Instruct v0.1 AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Mistral variant.
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
This model is a fine-tuned 7B parameter LLM on the Intel Gaudi 2 processor from the mistralai/Mistral-7B-v0.1 on the open source dataset Open-Orca/SlimOrca.
OpenChat is an innovative library of open-source language models, fine-tuned with C-RLFT - a strategy inspired by offline reinforcement learning.
OpenHermes 2.5 Mistral 7B is a state of the art Mistral Fine-tune, a continuation of OpenHermes 2 model, which trained on additional code datasets.
Phi-2 is a Transformer-based model with a next-word prediction objective, trained on 1.4T tokens from multiple passes on a mixture of Synthetic and Web datasets for NLP and coding.
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud. AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization.
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud. AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization.
This model is intended to be used by non-technical users to understand data inside their SQL databases.
We introduce Starling-LM-7B-beta, an open large language model (LLM) trained by Reinforcement Learning from AI Feedback (RLAIF).
The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. This is the chat model finetuned on top of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T.
Zephyr 7B Beta AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Zephyr model variant.
The best AI model for creating images is Lykon's DreamShaper 8. It is a powerful AI model that allows you to generate images from text prompts. It is a good choice for creating images from text prompts.
