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…
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…
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
Turns text into vectors for search, code retrieval, classification and clustering, in over 100 languages. The 8B model in Qwen's embedding family, with adjusta…
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…
peasantsmith · Kit
Five GGUF compressions of GLM-5.3-Flash, a 321B mixture-of-experts model, sized from 73.4 GB to 156.3 GB for Project Maya, which spreads the model across GPU,…
hindsight-ai · Kit
Answers typed questions about a text state with a probability for every option in one pass, with no generated text, in eight languages. A 0.8B decision model f…
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…
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…
hazyresearch · Kit
Research checkpoints from Hazy Research for Next-Concept Modeling, a coarse-to-fine text generation method, with tokenizer and generator pairs for summarizatio…
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…
unsloth · Kit
Runs Unsloth's GGUF copy of the GLM-5.3-Flash text model on your own hardware, a large open model its authors aim at coding and agent work. For people with ple…
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…
openai-community · Kit
Generates English text from a prompt with the smallest GPT-2 model, pretrained to predict the next word. Suits learners, researchers and developers who want a…
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…