Kvark-Sparkle-1.0-27B-GGUF
Egzakta · Kit
GGUF files of KVARK Sparkle 1.0, a 27B vision-language model, for llama.cpp, Ollama and LM Studio, with the speculative-decoding head kept. For people running…
Egzakta · Kit
GGUF files of KVARK Sparkle 1.0, a 27B vision-language model, for llama.cpp, Ollama and LM Studio, with the speculative-decoding head kept. For people running…
Divij · Kit
Rewrites decompiler output into readable C source with meaningful names and proper types. A Qwen3.5-4B fine-tune trained on unoptimized binaries, for security…
divagr1925 · Kit
A Qwen3.5-4B model with a small RISC-V computer built into its weights, used for exact arithmetic and for running a tiny story model. An experiment for researc…
divagr1925 · Kit
An experimental Qwen3.5-4B with a RISC-V CPU and a small filesystem compiled into its weights, so it remembers facts across sessions without outside tools. The…
deep-principle · Kit
A 4-bit NVFP4 build of Hydrogen-1.0, a 381B science and research assistant model from Deep Principle, based on GLM-5.3. It needs a multi-GPU NVIDIA Blackwell s…
deep-principle · Kit
An MXFP4 quantized copy of Deep Principle's 384B Hydrogen-1.0 science assistant, for AMD Instinct hardware. For labs that want a text model for scientific ques…
DavidAU · Kit
A GGUF build of Qwen3.8-Flash-Next by DavidAU with 27 reasoning modes, 27 instruct modes and 15 AI personas you switch on from the prompt. For people with larg…
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…
byteshape · Kit
Runs Qwen3.6-35B-A3B from a GGUF quantization with Multi-Token Prediction for faster GPU decoding in llama.cpp. Made by ByteShape for people running local mode…
bespokelabs · Kit
Gives a probability for every answer option when you pass a context and typed questions such as choices, yes or no, or ordered scores. A fine-tune of Qwen3.8-2…
beipo-ai · Kit
Operates desktop and browser apps from screenshots with a 9B dense computer-use model built on Qwen3.5. Suits developers who build computer-use agents with the…
bartowski · Kit
Quantized GGUF files of Meta's Llama 3.1 8B Instruct for local chat, such as 4.92 GB for Q4_K_M and 8.54 GB for Q8_0. Made by bartowski with an importance matr…
bartowski · Kit
GGUF quantizations of Meta's Llama-3.2-3B-Instruct, made by bartowski with an importance matrix, from about 1.8 GB to 6.4 GB. For running a small chat model lo…
bartowski · Kit
Imatrix GGUF quantizations of Kwaipilot's KAT-Coder-V2.5-Dev, a 34.7B text model, with 4-bit files of about 19 GB or more. For people who run a large coder-nam…
allenai · Kit
Answers questions about images, videos and groups of images, and can point to what it finds. An open vision-language model from Ai2 for developers and research…
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…
abacusai · Kit
Rewrites AI-written text in a human voice while keeping its facts, numbers, names and layout. A 12B model fine-tuned by Abacus.AI from Gemma 4, for writers and…
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…
zai-org · Kit
A 753B-parameter open text model from zai-org for long, multi-step work such as coding and agent tasks, with a 1M-token context and an MIT license. For teams w…
YoSaNoo · Kit
A small coding-minded text model fine-tuned from Google's gemma-4-E2B and shared as GGUF files, so you can run it on your own laptop in Ollama, LM Studio, Unsl…