AI Model Catalogue

Open-source qwen3-4B-sentiment-lora model from alanwang2001 — available for download and self-hosting on Hugging Face.

Open-source Qwen-7B-REMOR-GRPO-no-SFT model from pawin205 — available for download and self-hosting on Hugging Face.

Open-source Qwen2.5-7B-Chinese-SFT model from 114df — available for download and self-hosting on Hugging Face.

Open-source qwen3-4b-kicad-netlist model from abijahkaj — available for download and self-hosting on Hugging Face.

Open-source turkish_10mb_after_shuff_dyck_1000 model from fpadovani — available for download and self-hosting on Hugging Face.

Open-source gita-text-generation-gpt2 model from nkeerthi — available for download and self-hosting on Hugging Face.

Open-source PicoWord-5k model from harley-ml — available for download and self-hosting on Hugging Face.

Open-source TinyWord2-128k model from harley-ml — available for download and self-hosting on Hugging Face.

Open-source Linny-TokenBased-Gen2.0 model from lucien-shark — available for download and self-hosting on Hugging Face.

Open-source FinAI model from meridianal — available for download and self-hosting on Hugging Face.

Open-source TinyWord-134k model from harley-ml — available for download and self-hosting on Hugging Face.

Open-source acquisition_student_filtered_qwen3bins_numina model from ishikaa — available for download and self-hosting on Hugging Face.

Open-source acquisition_student_filtered_qwen3bins_medmcqa model from ishikaa — available for download and self-hosting on Hugging Face.

Open-source mind-mem-4b model from star-ga — available for download and self-hosting on Hugging Face.

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

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.

FLUX.2 [dev] is an image model from Black Forest Labs where you can generate highly realistic and detailed images, with multi-reference support.

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.

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.

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

Aura is a context-aware text-to-speech (TTS) model that applies natural pacing, expressiveness, and fillers based on the context of the provided text. The quality of your text input directly impacts the naturalness of the audio output.

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

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.

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.

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.

EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages.

Lucid Origin from Leonardo.AI is their most adaptable and prompt-responsive model to date. Whether you're generating images with sharp graphic design, stunning full-HD renders, or highly specific creative direction, it adheres closely to your prompts, renders text with accuracy, and supports a wide array of visual styles and aesthetics – from stylized concept art to crisp product mockups.

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.

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

Aura-2 is a context-aware text-to-speech (TTS) model that applies natural pacing, expressiveness, and fillers based on the context of the provided text. The quality of your text input directly impacts the naturalness of the audio output.

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 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.