Kits of AI agent skills, rules and prompts

granite-4.2-8b GGUF

ibm-granite · Kit

Holds GGUF copies of IBM's Granite 4.2 8B model in several quantization levels, ready for llama.cpp. For people who want to run the model locally and read its…

Granite-4.2-3B (GGUF)

ibm-granite · Kit

Packages IBM's Granite 4.2 3B text model as GGUF files for local use. The 4-bit weights are estimated at about 1.8 GB, for people who want a compact model unde…

Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF

hesamation · Kit

Runs a reasoning-tuned Qwen3.6-35B-A3B on your own machine as GGUF files in four quant sizes, trained on Claude Opus 4.6 style reasoning data. For people who w…

phonon-31m English for llama.cpp

gradium · Kit

Turns English text into speech from the command line or a local server, as a GGUF copy of the Phonon 31M model for llama.cpp. It suits developers who already r…

gemma-4-31B-it-qat-q4_0-gguf

google · Kit

Runs Google's Gemma 4 31B instruction-tuned model as a 4-bit GGUF file that reads text and images and answers in text. It suits developers and enthusiasts with…

Qwen2.5-Coder-1.5B Q8_0 GGUF

ggml-org · Kit

Runs Qwen2.5-Coder 1.5B on your own machine as a Q8_0 GGUF file through llama.cpp, from the command line or as a local server. It suits developers who want a s…

embeddinggemma-2 GGUF

ggml-org · Kit

Runs a GGUF copy of Google's embeddinggemma-2, a 271M feature extraction model, with the llama command or the Llama app. For developers who want a small text e…

Clef-GGUF

ggml-org · Kit

GGUF files of Cloudflare's Clef decision model, which takes image and text input. Served with llama.cpp tools and called through a decision API path. For devel…

Kvark-Sparkle-1.0-27B

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.…

Gemma-3-12b-it-MAX-HORROR-Imatrix-GGUF

DavidAU · Kit

Writes fiction with a tint of horror. GGUF builds of Gemma 3 12B instruct, quantized with an imatrix made from a horror model, for creative writers who run mod…

Qwen3-ASR-1.7B GGUF

cstr · Kit

Turns speech, singing and songs into text, or into English, with quantized GGUF files of Qwen3-ASR-1.7B for CrispASR. For people who want local transcription a…

MOSS-Transcribe-Diarize-GGUF

cstr · Kit

Turns audio into timestamped transcripts with speaker labels in one pass. A GGUF conversion of a 0.9B model for CrispASR, for people who want meeting or interv…

Qwen 3.6 35B-A3B REAP-48 v2 GGUF

crucible-labs · Kit

Runs a pruned and quantized Qwen3.6-35B-A3B in an 8.78 GiB GGUF file for llama.cpp, closer to the unquantized weights than the first release. For people with l…

ConeML 1.2B Experimental

ConeML · Kit

Names the tallest, oldest or first item among facts you supply, as a small English research model in FP32 Safetensors and Q8_0 GGUF files. For researchers, non…

t5-v1_1-xxl-encoder-gguf

city96 · Kit

A GGUF conversion of Google's T5 v1.1 XXL text encoder, for turning text into embeddings in llama.cpp or feeding image generation models through ComfyUI-GGUF.…

wan-gguf

calcuis · Kit

GGUF quantized versions of the Wan video models for text-to-video work in ComfyUI or diffusers, including small 1.3b files for older machines. For people who m…

pig-vae

calcuis · Kit

A small GGUF VAE in the pig architecture for image and video workflows, with a loader in the gguf-node package. Aimed at faster runs and lower memory use on ol…

Qwen3.5-9B GGUF (ShapeLearn)

byteshape · Kit

GGUF copies of Qwen3.5-9B, a model that reads text and images, compressed with ByteShape's ShapeLearn for llama.cpp. Variants for GPUs and CPUs, from about 3 G…

North-Mini-Code-1.0 GGUF

byteshape · Kit

GGUF copies of the North-Mini-Code-1.0 coding model, compressed with ByteShape's ShapeLearn for GPU use in llama.cpp. Four sizes from 12.1 GB to 21.5 GB, for d…

Qwen3.5-4B GGUF

bartowski · Kit

Imatrix GGUF quantizations of Qwen3.5-4B, a 4.3B image-text model with MTP layers, with the 4-bit file near 3 GB. For people who run a small model locally.