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…