F5-TTS
SWivid · Kit
Turns text into speech with the F5-TTS flow-matching model, shipped as F5-TTS and E2 TTS base checkpoints. For developers and researchers working under a non-c…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
SWivid · Kit
Turns text into speech with the F5-TTS flow-matching model, shipped as F5-TTS and E2 TTS base checkpoints. For developers and researchers working under a non-c…
stephenlb · Kit
Answers yes/no, multiple-choice and score questions about a text with a probability for each answer, using a Gemma 4 12B base with a small decision head. For d…
SparkAudio · Kit
Speaks Chinese and English from text with a Qwen2.5-based model, including zero-shot voice cloning and virtual voices set by gender, pitch and speaking rate. F…
Shockem · Kit
Cuts the length of Qwen3.8-27B's reasoning on coding tasks so answers arrive sooner, as a small LoRA adapter. For people who run the base model on their own ha…
Qwen · Kit
Completes and generates code as a 7.6B base language model that developers can run, fine-tune or use for fill in the middle tasks. Built for people making codi…
Qwen · Kit
The smallest base model in Qwen2.5, about 494M parameters with a 32,768-token context, meant for further training on your own data. For developers who want a t…
protectai · Kit
Flags English text that tries to hijack a language model, labeling each input as benign or prompt injection. For developers who screen user input in LLM apps.
neuralmind · Kit
A BERT model pretrained on Brazilian Portuguese that fills in masked words and produces text embeddings. For NLP developers and researchers who work with Portu…
mradermacher · Kit
Quantized GGUF copies of OneJev1.6-4B, from about 2 GB to 8.5 GB, for running the model on your own computer. The card does not say what the base model is for.
mlx-community · Kit
A 4-bit MLX copy of the 4.2B JevK5 chat model for Apple Silicon, with a 262,144 token context and a small memory footprint. Made for Mac users who want a quick…
mistralai · Kit
Generates and continues text as a 7B pretrained base model, for researchers and developers who want a starting point to test, tune or build on.
MinimaLabs · Kit
A 99M-parameter base language model trained from scratch on 100B tokens, with a hybrid attention design. Made for researchers and tinkerers who want a tiny ope…
KBlueLeaf · Kit
The MOSS-Image Base and SFT image transformers with their weights rescaled so they run in fp16 without overflow, giving the same outputs. For diffusers, ComfyU…
kandinskylab · Kit
Turns one reference image and a speech recording into an avatar video, animating the whole figure to match the speech. The distilled Lite version runs 16 steps…
ibm-granite · Kit
Holds GGUF copies of IBM's Granite 4.2 8B model in several quantization levels, ready for llama.cpp. For people who want to run the model locally and read its…
Hooshaai · Kit
Classifies English text, such as SST-2 sentiment, with a RoBERTa Base model whose attention is made sparse by AdaSplash, trading some accuracy for lower latenc…
Hooshaai · Kit
Classifies English text with a RoBERTa Base model shrunk to about 82M parameters by Fisher-weighted SVD at rank 32, trading some accuracy for lower latency and…
Hooshaai · Kit
A RoBERTa Base sentiment classifier whose attention is swapped for a sparse AdaSplash version, which zeroes out 40% of attention weights to cut time and memory…
google-t5 · Kit
A 220 million parameter text-to-text model that handles translation between English, French, Romanian and German, and also summarization, question answering an…
google-bert · Kit
Fills in masked words and extracts text features in 104 languages. A case-sensitive BERT base model meant to be fine-tuned for classification, tagging and ques…
google-bert · Kit
Predicts masked words in Chinese text, as Google's BERT base model pre-trained for Chinese. It suits developers and researchers who build Chinese language tool…
FireRedTeam · Kit
Detects speech, singing and music in audio, with streaming and file-based voice activity detection plus audio event detection. For speech developers who segmen…
fastino · Kit
Extracts entities, classifies text, pulls out structured data and finds relations in plain text, with one small model that runs on a CPU. It suits developers w…
facebook · Kit
Turns English speech audio sampled at 16 kHz into text. A base wav2vec 2.0 model fine-tuned on 960 hours of Librispeech, for developers and researchers who nee…
Egzakta · Kit
Reasons over images and text with fewer thinking tokens than its base Qwen3.8-27B, so answers arrive in about half the time at similar accuracy, per its card.…
BAAI · Kit
Turns English text into number vectors for search and retrieval. A 109M-parameter embedding model from BAAI, for developers who build semantic search or retrie…
AxiomicLabs · Kit
A 149M-parameter base text model from Axiomic Labs that continues the text you give it. The card reports an Intelligence Index of 33.05, ahead of SmolLM2-135M…
answerdotai · Kit
Predicts a hidden word in English text or code, and after fine-tuning serves as a long-context encoder for search, classification and retrieval. Made for devel…
zerofata · Kit
A 31.3B model by zerofata built on Gemma 4 31B instruct, for people who want to try this tune or compare it with its base. The card text says little about its…
yunpeng1998 · Kit
Edits video from written instructions by reusing an image editing model on video latents, with light trainable projections. For video creators and researchers…
lodestones · Kit
Turns a text prompt into an image with an 8.9B open base model built on FLUX.1-schnell, made as a starting point for artists and developers who want to finetun…
HuggingFaceTB · Kit
Continues English text from a prompt with a 362M-parameter base language model trained on 4 trillion tokens and light enough for on-device use. For developers…
alibaba-pai · Kit
Steers generated video with a control condition such as Canny, Depth, Pose or MLSD, or with a trajectory. For video creators and researchers working with the 5…
Accio-Lab · Kit
An open 35B image and text model from Accio-Lab, based on Qwen3.6-35B-A3B, in BF16, GGUF, FP8, NVFP4 and MLX formats. For teams that serve a large model.
taobao-mnn · Kit
A pre-trained base language model of about 300M parameters for Chinese and English, designed with the MNN inference engine for on-device use, as a start for fu…
RicemanT · Kit
Generates illustrations from booru-style tag prompts as a 2.8B-parameter fine-tune of the MageFlow 4B image model. Suits hobbyists and researchers who use Comf…
Qwen · Kit
Continues text and code as a 1.7B base language model pre-trained on 119 languages. For developers who want a small model to fine-tune or test.
meituan-longcat · Kit
Multimodal mixture-of-experts model for long agentic tasks such as codebase work, full project builds and creative design, in a compressed W4A4 build. For team…
ironbcc · Kit
A 9B decision model based on Qwen3.5-9B. You give it a situation, a question and options, and it returns how likely each option is, in one pass with no text ge…
IFM · Kit
A LoRA adapter that adds a diffusion pathway to IFM's K2-Horizon-7B language model, for research into faster text generation. It holds only the adapter, not th…
HuggingFaceTB · Kit
Continues English text from a prompt with a 135M-parameter base language model small enough to run on-device. For developers who want a tiny model to test idea…
hotocooo · Kit
Writes Blender 5.x Python scripts that build clean, quad-dominant meshes such as props, furniture, products and human or animal base meshes. A 4B fine-tune of…
fal · Kit
Upscales generated images four times with a GAN-based super-resolution model. Made for people who generate pictures and want them larger, from fal.
Egzakta · Kit
A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…
dslim · Kit
Finds and labels people, organizations, locations and miscellaneous names in English text. A fine-tuned BERT model for named entity recognition, used through t…
distilbert · Kit
A small, fast English language model distilled from BERT base, with 67M parameters. Fills in masked words and is mainly meant to be fine-tuned for classificati…
deep-principle · Kit
A 4-bit NVFP4 build of Hydrogen-1.0, a 381B science and research assistant model from Deep Principle, based on GLM-5.3. It needs a multi-GPU NVIDIA Blackwell s…
agentionai · Kit
Gives shorter, more direct answers than Qwen3.8-27B by using fewer answer and thinking tokens, so replies finish sooner. A light fine-tune that drops into the…
ruchangyao · Kit
A one-step diffusion model that sharpens low-quality video into higher-resolution video, with a fast Turbo variant and a higher-quality Base variant. For video…
ReadyArt · Kit
Runs a 30.7B-parameter Gemma-based text model locally in GGUF format, packaged by ReadyArt from its gemma-4-31B-it-scotoma-2 model. Suits people who want that…