AI skills and agents for developers

Qwen3.8-27B-exl3

turboderp · Kit

EXL3 quantized copies of Qwen3.8-27B in many bits-per-weight sizes, from 1.40 to 6.00. For people running the 27B model locally with ExLlamaV3 on limited GPU m…

Bonsai-27B-gguf

prism-ml · Kit

Runs a 27B-class reasoning model as a 1-bit GGUF file of about 3.9 GB for llama.cpp, so it fits a laptop or one GPU. For people who want local reasoning on eve…

DeepSeek-V4.1-Flash-1017 EXL3 EAQ v1 2.9 bpw

Mia-AiLab · Kit

A 2.9 bits-per-weight EXL3 quantization of DeepSeek-V4.1-Flash-1017 that reads text and images. It cuts the model to about 210 GB for exllamav3 runtimes, and t…

Qwen3.8-27B-GGUF by lmstudio-community

lmstudio-community · Kit

A GGUF quantization of Qwen's Qwen3.8-27B made by the LM Studio team with llama.cpp, for people who run a 27B model on their own computer.

Raon-1 mini (GGUF)

KRAFTON · Kit

Runs a 28.8B mixture-of-experts model tuned for Korean chat, reasoning and tool-using agents in llama.cpp. GGUF copy of Raon-1 mini preview for people who run…

Qwen3.8-2B-Distill-GGUF

empero-ai · Kit

Runs a small 2B reasoning model on phones, laptops and single-board computers, as GGUF files in five quant levels. A distillation of a large Qwen3.8 model, pac…

Nanbeige_Nanbeige4.3-33B-GGUF

bartowski · Kit

GGUF quantizations of Nanbeige4.3-33B, made by bartowski with an importance matrix, from about 21 GB to 66 GB. For running a 33B English and Chinese text model…

TinyLlama-1.1B-Chat-v1.0

TinyLlama · Kit

Chats in plain text as a small 1.1B language model that runs with little memory. For developers and researchers who want a compact chat model built on a Llama-…

Llama-V-JEPA-LM-Qwen3-4B

kkt94 · Kit

Answers questions about video clips with a 5.1B model that joins a frozen V-JEPA 2.1 video encoder to Qwen3-4B-Instruct-2507, for people who need video underst…

Llama-V-JEPA-LM-Qwen3-1.7B

kkt94 · Kit

Answers questions about video clips with a 2B model that joins a frozen V-JEPA 2.1 video encoder to Qwen3-1.7B, for people who need video understanding on one…

Llama-V-JEPA-LM-Llama3.2-3B

kkt94 · Kit

Answers questions about video clips with a 4.2B model that joins a frozen V-JEPA 2.1 video encoder to Llama-3.2-3B-Instruct, for people who need video understa…

Llama-V-JEPA-LM-Llama3.2-1B

kkt94 · Kit

Answers questions about video clips with a small 1.5B model that joins a frozen V-JEPA 2.1 video encoder to Llama-3.2-1B-Instruct, for people who need video un…

Qwen3.5-0.8B Astra Weight Edit

JonathanColetti · Kit

Fixes the repeat loops that Qwen3.5-0.8B falls into in thinking mode by editing two weight tensors directly, with no training. A small image-text model for Tra…

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…

Qwen3.8-4B-Distill-GGUF

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…

gemma-4-12B-it-qat-GGUF

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…

Llama-V-JEPA-LM-Llama3.1-8B

kkt94 · Kit

Answers questions about video clips by joining a frozen V-JEPA 2.1 video encoder to Llama-3.1-8B-Instruct, made for people working on video understanding.

Qwen3-8B-GGUF

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…

Llama-V-JEPA-LM-Qwen3-8B

kkt94 · Kit

Answers questions about video clips with a 9.2B model that joins a frozen V-JEPA 2.1 video encoder to Qwen3-8B, for people who need video understanding on a GP…

Qwen3.8-9B-Distill-GGUF

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…

ZONOS3-Mini GGUF

AtomicChat · Kit

Packs the ZONOS3-Mini text-to-speech model as GGUF files for llama.cpp, with 27 built-in voices and six backbone sizes from 0.41 to 1.61 GB. For developers run…

Qwen3.8-35B-A3B-Distill-GGUF

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…

Qwen3.6-35B-A3B-MTP-GGUF

unsloth · Kit

Runs Qwen3.6-35B-A3B locally from Unsloth's GGUF files with multi-token prediction for faster decoding in llama.cpp. Suits developers who want a local agentic…

Qwen2.5-Coder-7B-Instruct-GGUF

Qwen · Kit

Runs a 7B instruction-tuned coding model from Qwen on your own machine, packed as GGUF files in eight quantization levels. Made for developers who want code he…

Thinklite-27B-GGUF

Sparset · Kit

A 4-bit GGUF copy of Thinklite-27B for llama.cpp that uses less reasoning per answer than its base model, for people running a 27B text model locally.

S5-nano-GGUF

maritaca-ai · Kit

Runs Maritaca AI's S5-nano, a 4B model tuned for Brazilian Portuguese with function calling and a think mode, from GGUF files of 2.8 to 8.7 GB for llama.cpp an…

MNN-Pocket-0.3B-GGUF

taobao-mnn · Kit

Runs a compact 0.3B Chinese and English language model from GGUF files of 192 to 726 MB, made for phones, laptops and other on-device use with llama.cpp, LM St…

BotPsy-0.8B-GGUFs

qvac · Kit

GGUF copies of the 0.8B BotPsy tool-calling model in BF16, Q8_0 and Q4_K_M, for running agent and function-calling work fully on your own device with llama.cpp.

Raon-1 nano (GGUF)

KRAFTON · Kit

Packages the Raon-1 nano language model as GGUF files for llama.cpp, so developers can run a Korean and English chat model on their own computer. Four quant ty…

Ripple-65B-Preview-GGUF

AtomicChat · Kit

GGUF quantized files of the 65B Ripple Preview agentic-coding model, for running locally with llama.cpp. For people who run large open models on their own hard…

Qwen3.8-27B GGUF (ShapeLearn Quantized)

byteshape · Kit

Runs Qwen3.8-27B as GGUF files quantized by ByteShape's ShapeLearn, in five GPU-sized options with vision input and MTP speculative decoding in llama.cpp. For…

Qwen3.8-27B-DSpine-b16-GGUF

aj9o9 · Kit

A GGUF draft model that speeds up Qwen3.8-27B in llama.cpp through speculative decoding, reaching about 125 tokens per second on code and math on one RTX 3090.…

Qwen3.8-27B-GSQ-RCO-GGUF

ISTA-DASLab · Kit

ISTA-DASLab's GGUF versions of Qwen3.8-27B in four sizes, each tensor quantized at its own precision, with a vision projector for images. Suits people who run…

An n8n chat that sends each message to Llama 3.2 on your own Ollama server. The model answers as a JSON object, and the chat shows your prompt, the response an…

An n8n canvas with four ways to reach DeepSeek: a local R1 model on Ollama that answers the chat, two direct API calls with thinking on and off, and an agent w…

An n8n workflow with two nodes that asks a model running on your own computer through Ollama to write a short welcome message. It is the smallest way to test t…

An n8n workflow you start by hand: it reads a Markdown prompt from a GitHub repo and fills its double brace placeholders with values you set. An AI agent on Ol…

An n8n workflow with a chat window. Each message goes through a Basic LLM Chain to a model served by Ollama on your own machine, and the answer comes back in t…

MiniCPM-V

OpenBMB · Kit

OpenBMB’s open multimodal models: MiniCPM-V 4.7 reads images, documents and video, and MiniCPM-o 4.5 also hears and speaks. The setup notes cover Transformers,…

bitnet.cpp

microsoft · Kit

Microsoft’s official inference framework for 1-bit LLMs, built on llama.cpp. It runs ternary models such as BitNet b1.58 on x86 and ARM CPUs, and has a GPU ker…

Ollama

ollama · Kit

Ollama’s MIT-licensed app and command line for running open models on your own computer, or in Ollama’s cloud once you sign in. The setup notes cover macOS, Wi…

Awesome LLM Apps

Shubhamsaboo · Kit

Shubham Saboo’s open source collection of AI agents, agent skills and RAG apps, most in a folder of their own with a README. Setup notes cover the skills for C…