Spark-X2.6-1.7B-GGUF
XHToken · Kit
Runs a small 1.7B on-device language model from XHToken as 4-bit GGUF files, for chat, coding and agent tasks in English and Chinese, with adjustable thinking…
XHToken · Kit
Runs a small 1.7B on-device language model from XHToken as 4-bit GGUF files, for chat, coding and agent tasks in English and Chinese, with adjustable thinking…
Qwen · Kit
Runs Qwen3-8B as quantized GGUF files in llama.cpp or Ollama, with a thinking mode for math, code and logic and a plain mode for chat. For people who want a lo…
yuxinlu1 · Kit
A GGUF fine-tune of Google's Gemma 4 12B instruction model for coding and tool-using agent work, sized to run offline on a machine with about 4.5 GB of free me…
Qwen · Kit
Qwen's 8.2B open language model that switches between a thinking mode for hard problems and a plain mode for chat, with tool use and support for over 100 langu…
Qwen · Kit
The smallest Qwen3 chat model, built on Qwen3-0.6B-Base. It switches between a thinking mode and a quicker plain mode, handles 100+ languages and a 32,768-toke…
KRAFTON · Kit
Packs Raon-1 nano as a 4-bit LiteRT-LM bundle with a 4,096-token context, for running a Korean and English chat model on devices. Replies come without a thinki…
Qwen · Kit
Generates text with a 4B Qwen3 model that switches between a thinking mode for hard reasoning and a plain mode for quick chat. Suits developers who want a smal…
froggeric · Kit
Swaps Qwen's official chat templates for one drop-in Jinja file that fixes rendering errors, cache invalidation, wasted tokens and agent stalls. For people who…
XHToken · Kit
A compact 4B language model in GGUF form for on-device use, tuned for coding, agents and long context, with three thinking levels from none to high. Works in E…
Qwen · Kit
Handles text, images and video with FP8-quantized weights of Qwen3.8-27B, a 27B dense model with adjustable thinking. For developers serving it with transforme…
google · Kit
Instruction-tuned Gemma 4 model from Google that reads text and images and writes text, with configurable thinking, function calling and a context window of up…
XHToken · Kit
A 4.1B language model for coding, agent work and long context in English and Chinese, with three thinking levels. For developers building agents that run on th…
RikiyaT · Kit
Qwen3.5-0.8B with two weight matrices edited by an LLM, with no training, to stop its thinking loops and do better at math. An experimental model for researche…
google · Kit
An instruction-tuned 31B model from Google DeepMind that reads text and images and writes text, with a 256K context and configurable thinking. For developers w…
HAL-X-AI · Kit
Answers plain-language questions about a message, document, image or chart with a probability for every option, in tens of milliseconds. For developers who rou…
zai-org · Kit
zai-org's natively multimodal GLM-5 series model with 320B total and 18B active parameters, with a hybrid sparse and linear attention design and a thinking bud…
Oxygen-Low · Kit
A browser chat demo for DeepSmolLM3-3B, a 3B-parameter reasoning model, that shows the model's long thinking apart from its answer. For anyone who wants to try…
HAL-X-AI · Kit
Gives a probability for every option of a question you ask about a described situation, using the THX-02 decision model, with an optional thinking mode. A Grad…