Models

llama-3.1-8b-instruct-fast

Llama 3.3 70B quantized to fp8 precision, optimized to be faster.

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[Fast version] The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models. The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

gemma-3-12b-it

mistral-small-3.1-24b-instruct

Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Gemma 3 models are multimodal, handling text and image input and generating text output, with a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions.

LoRA

Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.

LoRA

qwq-32b

qwen2.5-coder-32b-instruct

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.

LoRA

Text Classification • baai

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

LoRA

bge-reranker-base

Different from embedding model, reranker uses question and document as input and directly output similarity instead of embedding. You can get a relevance score by inputting query and passage to the reranker. And the score can be mapped to a float value in [0,1] by sigmoid function.

llama-guard-3-8b

deepseek-r1-distill-qwen-32b

Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification) and in LLM responses (response classification). It acts as an LLM – it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated.

LoRA

Text Generation • DeepSeek

DeepSeek-R1-Distill-Qwen-32B is a model distilled from DeepSeek-R1 based on Qwen2.5. It outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.

llama-3.2-1b-instruct

The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

llama-3.2-3b-instruct

llama-3.2-11b-vision-instruct

The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

Text-to-Image • Black Forest Labs

The Llama 3.2-Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.

LoRA

flux-1-schnell

FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.

llama-3.1-8b-instruct-awq

llama-3.1-8b-instruct-fp8

Quantized (int4) generative text model with 8 billion parameters from Meta.

Text-to-Speech • myshell-ai

Llama 3.1 8B quantized to FP8 precision

melotts

MeloTTS is a high-quality multi-lingual text-to-speech library by MyShell.ai.

llama-3.1-8b-instruct

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models. The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

bge-m3

Text Generation • meta-llama

Multi-Functionality, Multi-Linguality, and Multi-Granularity embeddings model.

Batch

meta-llama-3-8b-instruct

Generation over generation, Meta Llama 3 demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.

whisper-large-v3-turbo

Automatic Speech Recognition • OpenAI

Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.

llama-3-8b-instruct-awq

una-cybertron-7b-v2-bf16Beta

Quantized (int4) generative text model with 8 billion parameters from Meta.

llava-1.5-7b-hfBeta

Image-to-Text • llava-hf

LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture.

Text Generation • fblgit

Cybertron 7B v2 is a 7B MistralAI based model, best on it's series. It was trained with SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets.

whisper-tiny-enBeta

Automatic Speech Recognition • OpenAI

Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition.

llama-3-8b-instruct

mistral-7b-instruct-v0.2Beta

Generation over generation, Meta Llama 3 demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning.

The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2. Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1: 32k context window (vs 8k context in v0.1), rope-theta = 1e6, and no Sliding-Window Attention.

LoRA

gemma-7b-it-loraBeta

This is a Gemma-7B 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.

LoRA

gemma-2b-it-loraBeta

llama-2-7b-chat-hf-loraBeta

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.

LoRA

Text Generation • meta-llama

This is a Llama2 base model that Cloudflare dedicated for inference with LoRA adapters. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format.

LoRA

gemma-7b-itBeta

Text Generation • nexusflow

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. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants.

LoRA

starling-lm-7b-betaBeta

We introduce Starling-LM-7B-beta, an open large language model (LLM) trained by Reinforcement Learning from AI Feedback (RLAIF). Starling-LM-7B-beta is trained from Openchat-3.5-0106 with our new reward model Nexusflow/Starling-RM-34B and policy optimization method Fine-Tuning Language Models from Human Preferences (PPO).

hermes-2-pro-mistral-7bBeta

Text Generation • nousresearch

Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes! Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.

Function calling

mistral-7b-instruct-v0.2-loraBeta

The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.

LoRA

qwen1.5-1.8b-chatBeta

Text Generation • Microsoft

Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.

uform-gen2-qwen-500mBeta

Image-to-Text • unum

UForm-Gen is a small generative vision-language model primarily designed for Image Captioning and Visual Question Answering. The model was pre-trained on the internal image captioning dataset and fine-tuned on public instructions datasets: SVIT, LVIS, VQAs datasets.

bart-large-cnnBeta

Summarization • facebook

BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. You can use this model for text summarization.

phi-2Beta

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.

tinyllama-1.1b-chat-v1.0Beta

Text Generation • tinyllama

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.

qwen1.5-14b-chat-awqBeta

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.

qwen1.5-7b-chat-awqBeta

qwen1.5-0.5b-chatBeta

discolm-german-7b-v1-awqBeta

Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.

Text Generation • openchat

DiscoLM German 7b is a Mistral-based large language model with a focus on German-language applications. AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization.

falcon-7b-instructBeta

Text Generation • tiiuae

Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B and finetuned on a mixture of chat/instruct datasets.

openchat-3.5-0106Beta

OpenChat is an innovative library of open-source language models, fine-tuned with C-RLFT - a strategy inspired by offline reinforcement learning.

sqlcoder-7b-2Beta

Text Generation • defog

This model is intended to be used by non-technical users to understand data inside their SQL databases.

deepseek-math-7b-instructBeta

Text Generation • DeepSeek

DeepSeekMath-Instruct 7B is a mathematically instructed tuning model derived from DeepSeekMath-Base 7B. DeepSeekMath is initialized with DeepSeek-Coder-v1.5 7B and continues pre-training on math-related tokens sourced from Common Crawl, together with natural language and code data for 500B tokens.

detr-resnet-50Beta

Object Detection • facebook

DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images).

stable-diffusion-xl-lightningBeta

Text-to-Image • bytedance

SDXL-Lightning is a lightning-fast text-to-image generation model. It can generate high-quality 1024px images in a few steps.

dreamshaper-8-lcmBeta

Text-to-Image • lykon

Stable Diffusion model that has been fine-tuned to be better at photorealism without sacrificing range.

stable-diffusion-v1-5-img2imgBeta

Text-to-Image • runwayml

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-v1-5-inpaintingBeta

Text-to-Image • runwayml

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.

deepseek-coder-6.7b-instruct-awqBeta

deepseek-coder-6.7b-base-awqBeta

Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese.

Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese.

llamaguard-7b-awqBeta

neural-chat-7b-v3-1-awqBeta

Llama Guard is a model for classifying the safety of LLM prompts and responses, using a taxonomy of safety risks.

openhermes-2.5-mistral-7b-awqBeta

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.

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.

llama-2-13b-chat-awqBeta

mistral-7b-instruct-v0.1-awqBeta

Llama 2 13B Chat AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Llama 2 variant.

Mistral 7B Instruct v0.1 AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Mistral variant.

zephyr-7b-beta-awqBeta

stable-diffusion-xl-base-1.0Beta

Zephyr 7B Beta AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Zephyr model variant.

Text-to-Image • Stability.ai

Diffusion-based text-to-image generative model by Stability AI. Generates and modify images based on text prompts.

bge-large-en-v1.5

BAAI general embedding (Large) model that transforms any given text into a 1024-dimensional vector

Batch

bge-small-en-v1.5

BAAI general embedding (Small) model that transforms any given text into a 384-dimensional vector

Batch

llama-2-7b-chat-fp16

Full precision (fp16) generative text model with 7 billion parameters from Meta

mistral-7b-instruct-v0.1

Instruct fine-tuned version of the Mistral-7b generative text model with 7 billion parameters

LoRA

bge-base-en-v1.5

Text Classification • HuggingFace

BAAI general embedding (Base) model that transforms any given text into a 768-dimensional vector

Batch

distilbert-sst-2-int8

Distilled BERT model that was finetuned on SST-2 for sentiment classification

llama-2-7b-chat-int8

Image Classification • Microsoft

Quantized (int8) generative text model with 7 billion parameters from Meta

m2m100-1.2b

Translation • Meta

Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation

Batch

resnet-50

50 layers deep image classification CNN trained on more than 1M images from ImageNet

whisper

Automatic Speech Recognition • OpenAI

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.

llama-3.1-70b-instruct