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…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
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
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
GGUF copy of a 32B code chat model that runs locally with llama.cpp. It writes, explains and fixes code from plain requests, for developers who want to run it…
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
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…
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…
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…
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,…
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…