Qwen3.8-27B-GGUF by ggml-org
ggml-org · Kit
Runs Qwen3.8-27B, a 26.9B model that takes images and text and replies in text, as a GGUF file for local use through the llama tools. Made for people who want…
ggml-org · Kit
Runs Qwen3.8-27B, a 26.9B model that takes images and text and replies in text, as a GGUF file for local use through the llama tools. Made for people who want…
empero-ai · Kit
Runs a 4B reasoning model on a laptop or a mid-range graphics card, as GGUF files in five quant levels. A distillation of a large Qwen3.8 model, packaged by Em…
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…
unsloth · Kit
Gemma 4 12B in GGUF form, trained with quantization-aware training so a 4-bit copy keeps near-bfloat16 quality. For people running Gemma locally with llama.cpp…
tencent · Kit
Reads an image with a text query and returns object boxes, points, counts, text positions and pixel masks, including alpha mattes. Suits researchers running a…
speakleash · Kit
Chat model that answers in Polish, English and six other languages, packed as GGUF files in five sizes for llama.cpp or Ollama. For people who want an instruct…
lapadatbogdan · Kit
Runs a pruned GLM-5.3-Flash coding and agent model on a home PC, as GGUF files in five quant sizes. It keeps 152 of 288 experts per layer, cutting a 321B model…
InternScience · Kit
Works through long scientific tasks as an agent that delegates to subagents, checks its own progress and revises its plan. A 35B mixture-of-experts model for r…
empero-ai · Kit
Reasons step by step before it answers, using a 35B mixture-of-experts model that activates about 3B parameters per token. Distilled from Qwen3.8 teacher trace…
unsloth · Kit
Runs Google's Gemma 4 31B instruction-tuned model locally from Unsloth's GGUF files, with text and image input and a long context. Suits developers who want a…
sabicap · Kit
A 27B agentic text model built on Qwen3.8-27B with open-source RL environments, reporting higher terminal and coding-agent scores, for developers building codi…
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…
feder-cr · Kit
A local decision model that answers yes-or-no, multiple-choice and score questions about a text on a laptop CPU in about 28 to 130 ms, returning a probability…
empero-ai · Kit
GGUF quantizations of Empero's Qwen3.8-9B, a reasoning model distilled from a larger Qwen3.8 into the Qwen3.5-9B design, for llama.cpp, Ollama, LM Studio and s…
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…
thinkingmachines · Kit
Reads text, images and audio and writes text, as a huge open multimodal model for coding assistants, agents and chatbots. For developers with multi-GPU servers…
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…
nvidia · Kit
NVIDIA's 4-bit NVFP4 build of Alibaba's Qwen3.8-27B, made with Model Optimizer for Blackwell GPUs, taking text, image and video in and giving text back.
KRAFTON · Kit
Chats and reasons, with a strength in Korean, and runs tool-calling agent tasks. A 28.8B mixture-of-experts model that activates 4.3B parameters per token with…
empero-ai · Kit
Runs a 35B Mixture-of-Experts model with about 3B active parameters per token from GGUF files in ten sizes, plus a vision projector. For llama.cpp, Ollama, LM…