AI skills and agents for developers

Spark-X2.6-4B-FP8

XHToken · Kit

Compact 4.1B-parameter text model in FP8 form for on-device use, with three thinking levels (none, low, high) and English and Chinese support. Aimed at coding…

Spark-X2.6-1.7B-Base

XHToken · Kit

A compact 1.7B language model for on-device use in English and Chinese, with gains in coding, agent tasks and long context, and three adjustable thinking level…

Chatterbox-Nano

ResembleAI · Kit

Speaks English text aloud on a plain CPU with a 110M-parameter model, and adds laughs and coughs through tags in the text. Suits developers who need fast on-de…

Gemma 4 12B IT (LiteRT-LM)

litert-community · Kit

Runs Gemma 4 12B on your own desktop with text, image and audio input, no internet needed. A LiteRT-LM build for developers who want private, on-device generat…

Granite-4.0-H-350M

ibm-granite · Kit

Handles summaries, classification, extraction, question answering, RAG, code tasks and tool calling in 12 languages with a 340M-parameter instruct model from I…

SmolVLM2-2.2B-Instruct

HuggingFaceTB · Kit

Answers questions about videos, images and text together, with a 2.2B model that needs about 5.2 GB of GPU memory for video. For developers building visual ass…

Maple-Preview

deepgrove · Kit

A 20B ternary-weight reasoning model that activates about 1B parameters per token. Built for fast on-device use, with a 5.31 GB checkpoint and 131,072 token co…

SmolLM2-360M

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…

Zabibu Fikra Model 2 (4B)

zabibutechnika · Kit

Answers in Swahili and English from a 4B model made to run privately on your own device, offline. Suits on-device assistants that need African context, such as…

MNN-Pocket-0.3B-Base

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…

Gemma 4 E4B IT (LiteRT-LM)

litert-community · Kit

Runs a small Gemma 4 model on phones, desktops, IoT boards and the web without an internet connection. A 3.66 GB LiteRT-LM build for developers who want privat…

SmolLM2-135M

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…

MNN-Pocket-0.3B-MNN

taobao-mnn · Kit

Runs a 0.3B Chinese and English chat model on phones and edge devices through the MNN runtime, as a 4-bit build of about 173 MB. For developers adding on-devic…

SmolLM2-135M-Instruct

HuggingFaceTB · Kit

Answers chat-style questions and handles rewriting and summaries with a 135M-parameter instruction-tuned model small enough for on-device use. For developers w…

SmolLM2-1.7B-Instruct

HuggingFaceTB · Kit

Chats, rewrites and summarizes text and can call functions, in a compact 1.7B model small enough to run on-device. The instruction-tuned SmolLM2 from HuggingFa…

Spark-X2.6-4B-Base

XHToken · Kit

A 4.1B language model for on-device use, tuned for coding, agent tasks, long context and reasoning in English and Chinese, with three thinking levels. For deve…

MiniCPM5-2B-GGUF

openbmb · Kit

Gives you MiniCPM5-2B, a small dense text model for English and Chinese, as GGUF files for on-device and local use. Suits people who want a compact model for c…

embeddinggemma-2-740m-litert-lm

litert-community · Kit

The 740M multimodal EmbeddingGemma 2 packaged for on-device use with LiteRT-LM. It maps text, code, images, video and audio into one shared 768-dimensional vec…

Spark-X2.6-1.7B

XHToken · Kit

Generates text with a compact 1.7B model for on-device use, with three adjustable thinking levels. Suits developers who want coding, agent and long-context hel…

embeddinggemma-2-GGUF

unsloth · Kit

Turns text into 768-dimensional vectors for on-device search, retrieval and clustering. The base model also covers images, video and audio. Packaged as GGUF by…