Qwen3.5-122B-A10B
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
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
A 30.5B mixture-of-experts chat model in GGUF format with only 3.3B parameters active per token, runnable in llama.cpp or ollama. It has thinking and plain mod…
Qwen · Kit
A small 0.6B chat model in GGUF format that runs locally in llama.cpp or ollama and can switch between thinking and plain replies. Suits people with modest har…
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…
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…
perplexity-ai · Kit
Finds personal data in chat conversations and masks it, using a 600M-parameter encoder with a token tagger and a sensitivity score. It suits teams that clean c…
openbmb · Kit
Speeds up MiniCPM-OCR 1.0 by drafting tokens that the main model checks in one pass. A draft head, not a standalone OCR model, for people who self-host documen…
Octen · Kit
Turns a short search query into the web address it most likely means, using a table of 30.9 million URLs stored with the model. For developers and researchers…
NicoLab28 · Kit
Lets a small Qwen3-VL stand in for the 32B text encoder of MiniMax H3 in ComfyUI, cutting VRAM from 15.7 GB to 4.5 GB. A proof of concept that needs a custom n…
nazeshinjite · Kit
GGUF draft model that speeds up Qwen3.8-Flash-Next in llama.cpp through speculative decoding, in 334 MiB and 622 MiB files. It is not a standalone model, and i…
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…
mlx-community · Kit
A 4-bit MLX conversion of Qwen3.6-35B-A3B that answers text and image prompts on Apple Silicon Macs. Made for people who want to run this Qwen model locally wi…
miromind-ai · Kit
An open research agent model that reasons over long contexts and calls tools many times per task to look up information. The 8B size, built on Qwen3-8B, suits…
manuelgscom · Kit
Writes a read-only MongoDB aggregate pipeline from a plain Spanish or English question. A GGUF copy of a Qwen3.5-9B fine-tune that runs locally with llama.cpp,…
lordx64 · Kit
Thinks in explicit think blocks before it answers, tuned on about 8k reasoning traces from Claude Opus 4.7. A 35B mixture-of-experts Qwen3.6 variant for hard m…
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.
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…
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…