AI skills and agents for developers

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…

System One Model

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…

Spark-TTS-0.5B

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…

Qwen3.8-27b-Terse-Coder-LoRA

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…

Qwen2.5-Coder-7B

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…

Qwen2.5-0.5B

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…

deberta-v3-base-prompt-injection-v2

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.

BERTimbau Base

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…

OneJev1.6-4B-GGUF

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.

JevK5-chat-mlx-4bit

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…

Mistral-7B-v0.1

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.

KLM 1.5

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…

MOSS-Image FP16-fixed

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…

Kandinsky S2V 1.0 Lite distilled

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…

granite-4.2-8b GGUF

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…

svd-linear-attention-roberta-base-adasplash

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…

roberta-base-fwsvd-rank32

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…

roberta-base-adasplash

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…

T5 Base

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…

BERT multilingual base model (cased)

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…