Kits of AI agent skills, rules and prompts

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

mradermacher · Kit

GGUF quantized files of a 27.3B coding-distilled Qwen3.8 model, from 2-bit to 8-bit with an optional multi-modal supplement. They suit developers who run a cod…

VulnLLM-R-7B-8bit

mlx-community · Kit

Runs an 8-bit MLX copy of VulnLLM-R-7B for text generation through mlx-lm. Meant for developers who want to try the model locally. The card does not say what i…

Mistral-7B-v0.1

mistralai · Kit

Generates and continues text as a 7B pretrained base model, for researchers and developers who want a starting point to test, tune or build on.

Mistral-7B-Instruct-v0.1

mistralai · Kit

A 7B instruction-tuned chat model from Mistral, fine-tuned from Mistral-7B-v0.1 on public conversation datasets. Made for developers who want a small open mode…

harrier-oss-v1-27b

microsoft · Kit

Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…

Qwen3.8-27B-MLX-8bit

lmstudio-community · Kit

Runs a 27B model that reads images and text in an 8-bit MLX build for Apple Silicon Macs. It suits people who want picture questions answered locally.

Qwen3.8-27B-oQ8e-mtp

Jundot · Kit

Runs Qwen3.8-27B as an 8-bit mixed-precision MLX checkpoint with its vision encoder and MTP head, for image and text chat on Apple hardware. For people who wan…

Qwen3.8-27B-oQ4e-mtp

Jundot · Kit

Runs the 27B Qwen3.8 vision-language model on MLX in about 17.5 GB, reading text, images and video with a 262,144-token context. A mixed-precision quantization…

JDI-Decision-V0.9

JoyIndustrial · Kit

Answers multiple-choice style questions about images and text with option probabilities, using a Qwen3.8-27B decision system with built-in OCR. For developers…

Qwen3.8-27B-GSQ-RCO-IQ3_S-recovered-GGUF

Joakimpalm-Zen · Kit

Shrinks Qwen3.8-27B to a 3-bit IQ3_S GGUF with retrained scales. A research file for people who study quantization, not a faithful stand-in for the original mo…

Qwopus3.8-27B-Flash-GGUF

Jackrong · Kit

Cuts reasoning time and cost for long agent tasks, as a GGUF build of a Qwen3.8-27B fine-tune. Made for people who run agent loops on their own machine and wan…

Qwen3.8-27B-NVFP4 Deployment Edition

IteraCompute · Kit

Serves Qwen3.8-27B in NVFP4 on one RTX 5090 with vLLM, with a checksum-verified download, FP8 KV cache, tool calls and reasoning support. For developers self-h…

K2-Horizon-3.7B-GGUF

IFM · Kit

GGUF files of the 3.7B K2-Horizon text model in six precision levels, from BF16 to Q4_K_M, for running with llama.cpp. The model has a 512K-token context windo…

ALLaM-7B-Instruct-preview

humain-ai · Kit

Answers questions and follows instructions in Arabic and English. A 7B model trained from scratch by the National Center for Artificial Intelligence at SDAIA,…

zephyr-7b-beta

HuggingFaceH4 · Kit

Chats as a helpful assistant, built by tuning Mistral-7B with direct preference optimization. For developers and hobbyists who want a small open chat model the…

HiDream-I1-Full

HiDream-ai · Kit

Generates images from text prompts with a 17B-parameter open model that scores at the top of the card's prompt-following tables. For designers, marketers and d…

Darwin-27B-ZTC

FINAL-Bench · Kit

Reads a situation and a set of typed questions, then returns a probability for every option in one forward pass, with no text generated. For builders adding ca…

KVARK Sparkle 1.0 (27B) FP8

Egzakta · Kit

Runs a 27B model that reads images and text, in FP8 for vLLM. It reasons with far fewer tokens than a Qwen model of the same size. Made for people who host the…

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.…

Qwen3.8-27B Splash 8-bit

dmeight · Kit

Runs Qwen3.8-27B at 8-bit through the Splash runtime in LM Studio on Apple silicon. An unofficial package that keeps the model closer to the original than the…