Flint INT4
RecursiveSI · Kit
A 4-bit MLX copy of Recursive Flint for local use on Apple Silicon, about 22.6 GB, launched through Rec with pi or OpenCode. Suits Mac users and developers who…
RecursiveSI · Kit
A 4-bit MLX copy of Recursive Flint for local use on Apple Silicon, about 22.6 GB, launched through Rec with pi or OpenCode. Suits Mac users and developers who…
ReadyArt · Kit
Text generation model of 31.3B parameters from ReadyArt, built on Google's gemma-4-31b-it and stored as Safetensors. Its page gives no statement of purpose, so…
rapid-mlx · Kit
A 27B vision-language model compressed to 3.5 bits per weight for Apple Silicon Macs with 24 GB of memory, served locally through Rapid-MLX. Suits Mac users an…
RadixArk · Kit
A pre-quantized NVFP4 copy of Qwen3.8-27B that reads text, images and video and answers in text, served with SGLang on NVIDIA Blackwell GPUs. Suits developers…
Qwen · Kit
Reads images and text together and answers in text, as a mixture-of-experts model with 122B total and 10B active parameters. Suits teams with big GPU servers w…
Qwen · Kit
Runs the Qwen3 8B language model through the mlx library for chat, reasoning, translation and agent work. Suits developers who want a local text model with a s…
Qwen · Kit
Completes and generates code as a 7.6B base language model that developers can run, fine-tune or use for fill in the middle tasks. Built for people making codi…
Qwen · Kit
Writes, explains and fixes code as a tiny 494M-parameter chat model with a 32,768-token context. Suits developers who want the smallest open Qwen coding model…
Qwen · Kit
A 4-bit AWQ build of Qwen2.5-7B-Instruct, a 7.6B chat model that follows instructions, handles tables and returns JSON. For developers who want a capable chat…
Qwen · Kit
Answers questions, writes code, does maths and returns structured JSON as a 14.7B-parameter chat model with a context window up to 131,072 tokens. Suits develo…
Qwen · Kit
The smallest base model in Qwen2.5, about 494M parameters with a 32,768-token context, meant for further training on your own data. For developers who want a t…
Qwen · Kit
A judge model called Q-Judger that grades AI-made images against the prompt that asked for them, scoring five groups of criteria and replying in JSON. For peop…
Qwen · Kit
Generates images from text prompts in English or Chinese, with better human realism, natural detail and text in pictures than the August Qwen-Image. For develo…
Qwen · Kit
A driving model built on Qwen3.5-4B that sees in 3D, answers questions about road scenes and plans future vehicle paths. For researchers working on autonomous…
QUASAR-QAT · Kit
Runs Qwen3.8-27B in 4-bit NVFP4 at 19.7 GB, trained with the QUASAR method to stay close to the full BF16 model. For people serving it with vLLM on an NVIDIA B…
protectai · Kit
Flags English text that tries to hijack a language model, labeling each input as benign or prompt injection. For developers who screen user input in LLM apps.
prithivMLmods · Kit
Sorts a photo into two classes, female or male, with a fine-tuned SigLIP 2 image model. Made for developers and researchers who want a small Python classifier…
prism-ml · Kit
FP16 safetensors copy of the 1-bit Bonsai-1.7B model, for running it in standard Hugging Face tools. The card advises the native 1-bit releases instead, which…
prakharkhatri · Kit
Turns speech into two streams of compact tokens and back into 24 kHz audio at 1.09 kbps, with a focus on English and ten Indian languages. It suits speech rese…
philbert440 · Kit
Runs DeepSeek V4.1 Flash at its full 1M-token context on eight Tesla V100 32 GB cards, using an EXL3 expert pack and an SM70 vLLM build. For owners of such ser…