Qwen3.8-9B-Distill
empero-ai · Kit
Reasons step by step through math, code and general questions, opening each answer with a thinking block. A 9B Qwen3.5 model trained on traces from a larger Qw…
empero-ai · Kit
Reasons step by step through math, code and general questions, opening each answer with a thinking block. A 9B Qwen3.5 model trained on traces from a larger Qw…
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…
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…
unsloth · Kit
Handles agentic coding and image-plus-text tasks locally, as Unsloth's GGUF files for Qwen3.6-27B with thinking preservation and a long context. For developers…
unsloth · Kit
GGUF files of Qwen3-30B-A3B, quantized by unsloth, for running a local chat and reasoning model in llama.cpp, Ollama or Open WebUI, with a thinking mode you ca…
unsloth · Kit
Works through logic, math, science and coding problems with a 21B mixture-of-experts model that activates 3B parameters per token, in GGUF files by Unsloth. Su…
Qwen · Kit
Runs the Qwen3 8B language model through the mlx library for chat, reasoning, translation and agent work. Suits developers who want a local text model with a s…
Qwen · Kit
A 30.5B mixture-of-experts chat model in GGUF format with only 3.3B parameters active per token, runnable in llama.cpp or ollama. It has thinking and plain mod…
Qwen · Kit
A small 0.6B chat model in GGUF format that runs locally in llama.cpp or ollama and can switch between thinking and plain replies. Suits people with modest har…
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.…
baidu · Kit
Reads images and text and reasons about them, with about 3B of its 29.7B parameters active at a time. Covers chart reading, STEM problems from photos, visual g…
baidu · Kit
Reasoning-focused ERNIE 4.5 mixture-of-experts text model with 21B total and 3B active parameters, 128K context and tool calling, in English and Chinese. For d…
ZelligeAI · Kit
Runs coding-agent loops with a 27B model that thinks in a compressed English and Chinese shorthand, so it spends fewer thinking tokens per turn. For developers…
Qwen · Kit
Gives you the small Qwen3 1.7B chat model as a q8_0 GGUF file for llama.cpp, with a switch between thinking and non-thinking replies. For people who want a lig…
Qwen · Kit
A compact 1.7B chat model that switches between a thinking mode for reasoning and a quick mode for dialogue. Suits developers who want a small open model for c…
llm-jp · Kit
A 33.2B-parameter English and Japanese text generation model from the LLM-jp project. Post-trained with SFT and DPO, it has a 65,536-token context, Apache 2.0…
jstarks · Kit
Google's Gemma 4 E4B-it with 0.002% of its weights edited directly, no training, to fix stalls in thinking mode with tool calls and multi-step math. Also ships…
jarrodwatts · Kit
A small weight edit for Qwen3.8-27B, with a script that applies it, that cuts the model's thinking length on open-ended tasks by changing a single matrix, with…
JamieBradfield · Kit
Calls tools and follows instructions with almost no thinking delay, as a 4.1B fine-tune of Spark-X2.6-4B. Made for people building fast local agents that need…
Answers questions and reads images with much shorter thinking. GGUF builds of a 27B Qwen 3.8 tune from DavidAU that aims to cut reasoning tokens while keeping…
cyankiwi · Kit
A 4-bit AWQ quantization of Qwen3.8-27B by cyankiwi, a 27B vision-language model with thinking control. Weights are 21.02 GB and load in Transformers, vLLM or…
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…
zai-org · Kit
A 320B-parameter multimodal model with 18B active that reads text and images, with an adjustable thinking budget and a hybrid attention design for long context…
Qwen · Kit
A 4B chat model in GGUF format that runs locally in llama.cpp or ollama, with a thinking mode for reasoning and a plain mode for quick replies. Suits developer…
Qwen · Kit
Reasons through hard problems in a thinking mode and answers everyday chat in a faster non-thinking mode, as a 14.8B-parameter open model. Suits developers who…
JetBrains · Kit
Runs JetBrains' 12B reasoning model locally in llama.cpp, Ollama or LM Studio, with five GGUF sizes to pick from. For developers who want a thinking model with…
bartowski · Kit
Small English and Chinese chat model as GGUF files from full bf16 down to about 2.4 GB, for llama.cpp, with a low or high thinking setting. For developers who…
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…
Qwen · Kit
Answers chat prompts with a 4B model that skips visible thinking and reads up to 256K tokens of context. For developers who want a small open assistant for rea…
JetBrains · Kit
A 12B mixture-of-experts thinking model with 2.5B active parameters, trained with reinforcement learning on real repositories for coding agents, math and hard…
HuggingFaceTB · Kit
Writes text and answers questions as a small 3B open model with switchable step-by-step thinking, tool calling and long context, for developers who want a comp…
google · Kit
Takes text, images and audio and writes text answers, in one 12B instruction-tuned model from Google DeepMind with a 256K-token context and configurable thinki…
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…
JonathanColetti · Kit
Fixes the repeat loops that Qwen3.5-0.8B falls into in thinking mode by editing two weight tensors directly, with no training. A small image-text model for Tra…
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…
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…
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…
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…
An n8n canvas with four ways to reach DeepSeek: a local R1 model on Ollama that answers the chat, two direct API calls with thinking on and off, and an agent w…