Kits of AI agent skills, rules and prompts

Qwen3.6-35B-A3B lododo-Distill-v1.0 (GGUF)

lododoai · Kit

Runs as a local text model, a Qwen3.6-35B-A3B fine-tune trained on data written by Qwen3.8-27B and packed as one GGUF file for llama.cpp. For people who run mo…

llm-jp-4.1-33b-thinking

llm-jp · Kit

A 33.2B-parameter English and Japanese text generation model from the LLM-jp project. Post-trained with SFT and DPO, it has a 65,536-token context, Apache 2.0…

Gemma 4 E4B IT (LiteRT-LM)

litert-community · Kit

Runs a small Gemma 4 model on phones, desktops, IoT boards and the web without an internet connection. A 3.66 GB LiteRT-LM build for developers who want privat…

SPARSEUP

Linkup-Platform · Kit

A 188M-parameter English sparse retrieval model from Linkup that turns queries and documents into weighted word lists for search. It scores 56.4 on BEIR, the b…

Pocket TTS

kyutai · Kit

A 100M-parameter text-to-speech model from Kyutai that runs on CPUs in six languages, streams audio with about 200 ms to the first chunk, and works from Python…

KAT-Coder-V2.5-Dev

Kwaipilot · Kit

An open-weight coding model from Kwaipilot, a mixture-of-experts with 35B total and 3B active parameters, tuned for agentic coding and fewer tool-call glitches…

Qwen3.8-27B-Fable-5-Coding-Distilled

khazarai · Kit

Debugs and reviews code by checking real files before it proposes a fix, a Qwen3.8-27B fine-tune trained on 195M tokens of reasoning traces. For developers who…

Slonik-27B-oQ8-mtp

kakoka · Kit

Helps write and change PostgreSQL source code with a 27B coding model, 8-bit quantized to run locally on Apple Silicon Macs through oMLX. For PostgreSQL develo…

Qwen3.8-27B-SLQ-GGUF

kaitchup · Kit

Compresses Qwen3.8-27B into three GGUF files with different size and fidelity levels, using a custom statistically lossless quantization. For people who run th…

Qwen3.8-27B-oQ6e-mtp

Jundot · Kit

A mixed-precision MLX copy of Qwen3.8-27B at about 6.9 bits per weight, with the vision encoder and multi-token prediction head included, for running locally o…

Qwen3.6-35B-A3B-oQ6e-mtp

Jundot · Kit

A mixed-precision MLX copy of Qwen3.6-35B-A3B at about 6.8 bits per weight, with the vision encoder and multi-token prediction head included, for running local…

gemma-4-E4B-it-weight-space-programming

jstarks · Kit

Google's Gemma 4 E4B-it with 0.002% of its weights edited directly, no training, to fix stalls in thinking mode with tool calls and multi-step math. Also ships…

AI-XAUUSD-Trading

JonusNattapong · Kit

Trades gold against the US dollar with three reinforcement learning models, market regime detection and risk rules. A research project for people who study tra…

Qwen3.8-27B Astra stop edit

jarrodwatts · Kit

A small weight edit for Qwen3.8-27B, with a script that applies it, that cuts the model's thinking length on open-ended tasks by changing a single matrix, with…

Spark-X2.6-4B-AgentFast

JamieBradfield · Kit

Calls tools and follows instructions with almost no thinking delay, as a 4.1B fine-tune of Spark-X2.6-4B. Made for people building fast local agents that need…

Qwopus3.8-27B-Flash-V2-GGUF

Jackrong · Kit

Trims wasted reasoning in long agent tasks, as a GGUF build of the second Flash fine-tune of Qwen3.8-27B with better Python formatting. For people who run agen…

Qwopus3.8-27B-Coder-Flash

Jackrong · Kit

Writes code, calls tools and works through software tasks as a coding agent. A 27.8B fine-tune of Qwen3.8-27B by Jackrong, trained on about 200,000 code and re…

Seb-9B-v2

ironbcc · Kit

A 9B decision model based on Qwen3.5-9B. You give it a situation, a question and options, and it returns how likely each option is, in one pass with no text ge…

multilingual-e5-large

intfloat · Kit

Turns text in about 100 languages into 1024-number vectors for search, matching and retrieval. A 560M-parameter embedding model from intfloat, built on xlm-rob…

Qwen3.8-27B-DFlash2 by incoai

incoai · Kit

Speeds up Qwen3.8-27B by drafting blocks of tokens that the main model then checks, with output unchanged. A 1.9B draft model for SGLang and vLLM servers, not…