Browse AI skills, agents and automations

Qwen3.6-35B-A3B MTP GGUF

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…

Meta-Llama-3.1-8B-Instruct-GGUF

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…

Llama-3.2-3B-Instruct-GGUF

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…

Forge-1-Gemma-4-E2B

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…

Spark-X2.6-1.7B-DSpark-GGUF

XHToken · Kit

A small draft model that speeds up Spark-X2.6-1.7B through speculative decoding, guessing up to seven tokens per step. For people who run that model locally on…

Llama-3.2-1B-Instruct-GGUF

unsloth · Kit

Chats, summarizes and answers questions in text on a laptop, as Unsloth's GGUF copy of Meta's small Llama 3.2 1B Instruct in precisions from 16-bit to 2-bit. F…

Qwen3-4B-GGUF

Qwen · Kit

A 4B chat model in GGUF format that runs locally in llama.cpp or ollama, with a thinking mode for reasoning and a plain mode for quick replies. Suits developer…

Qwen2.5-Coder-14B-Instruct-GGUF

Qwen · Kit

Gives you the Qwen2.5-Coder 14B instruct model as GGUF files in eight quantization sizes, for coding help with llama.cpp. For developers who want a stronger lo…

Qwen2.5-Coder-1.5B-Instruct-GGUF

Qwen · Kit

Gives you the small Qwen2.5-Coder 1.5B instruct model as GGUF files in eight quantization sizes, for coding help with llama.cpp on a laptop. For developers who…

Rein-NPC-4B

jmc0 · Kit

Drives game characters that hold a conversation, take in-game actions such as selling an item or calling guards, and stay in character under pressure. For game…

Mellum2.1-12B-A2.5B-Thinking-GGUF

JetBrains · Kit

Runs JetBrains' 12B reasoning model locally in llama.cpp, Ollama or LM Studio, with five GGUF sizes to pick from. For developers who want a thinking model with…

Axion-1.0-35B-APEX-I-MiniPlus-V2.1-GGUF

IsValorum · Kit

Runs the 35B Axion-1.0 model locally in llama.cpp from one compressed GGUF file with mixed precision. A quantized release by IsValorum for people who want a la…

gpt-oss-20b-GGUF by ggml-org

ggml-org · Kit

Generates text on your own computer from a GGUF copy of OpenAI's gpt-oss-20b, packaged by ggml-org. For people who want to run an open 20B model locally in the…

Qwen3.8-27B-Ridge-GGUF

empero-ai · Kit

Runs Qwen3.8-27B as a compact 3.7 bits-per-weight GGUF file that suits a 16 GB GPU, with optional image input. For people running models locally with llama.cpp…

Qwen3.6-35B-A3B 2-bit GSQ GGUF

chtisgit · Kit

Runs a 35B Qwen model in a 2-bit GSQ GGUF conversion with a separate vision projector for llama.cpp. For people who want a large model in a small file on CPU o…

Qwen3.6-35B-A3B GGUF (ShapeLearn Quantized)

byteshape · Kit

Quantized GGUF versions of Qwen3.6-35B-A3B that read images and text, with CPU and GPU variants from about 9 GB, made with ByteShape's ShapeLearn. For develope…

Spark-X2.6-4B GGUF

bartowski · Kit

Small English and Chinese chat model as GGUF files from full bf16 down to about 2.4 GB, for llama.cpp, with a low or high thinking setting. For developers who…

Qwen3.6-35B-A3B-coding-reap50-GGUF

anik-jha · Kit

Writes code with Qwen3.6-35B-A3B cut to half its experts and packed as GGUF files for llama.cpp. Made for developers who want a coding model that fits in less…

Spark-X2.6-4B-DSpark-GGUF

XHToken · Kit

Speeds up text generation for Spark-X2.6-4B as a small draft model for speculative decoding, in GGUF format. Meant for people running that model locally with l…

DeepSeek-V4.1-Flash-1017-exl3

turboderp · Kit

Runs a compressed DeepSeek-V4.1-Flash-1017 in ExLlamaV3 at 1.68, 2.25 or 2.68 bits per weight. For people who run large models on their own hardware and want l…