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…
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…
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…
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…
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…
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…
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…
hiwaifu-research · Kit
A role-play chat model post-trained from Gemma 4 31B-IT that replies in the user's language, whether Russian, Spanish, English or Portuguese, and stays in it.…
Hcompany · Kit
Looks at screenshots and decides the next click, keystroke, code run or tool call, built on Qwen3.8-27B. A computer-use model for web, desktop and mobile agent…
ggml-org · Kit
GGUF files of DeepSeek's 748B V4.1 Flash 1017 model, converted by ggml-org with a vision file for images, for people with big-memory machines who run models th…
Egzakta · Kit
Runs the 27B KVARK Sparkle 1.1 model from GGUF files in several sizes, with optional image input and speculative decoding. For people running models locally wi…
Egzakta · Kit
A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…
Egzakta · Kit
GGUF files of KVARK Sparkle 1.0, a 27B vision-language model, for llama.cpp, Ollama and LM Studio, with the speculative-decoding head kept. For people running…
DavidAU · Kit
A GGUF build of Qwen3.8-Flash-Next by DavidAU with 27 reasoning modes, 27 instruct modes and 15 AI personas you switch on from the prompt. For people with larg…
cyankiwi · Kit
A 4-bit AWQ quantization of Qwen3.8-27B by cyankiwi, a 27B vision-language model with thinking control. Weights are 21.02 GB and load in Transformers, vLLM or…
cdiamond · Kit
A 17.1 GB mixed-precision GGUF of Qwen3.8-27B that keeps its multi-token prediction layer, tuned for 256K context with vision on a 24 GB GPU. For people who ru…
byteshape · Kit
Runs Qwen3.6-35B-A3B from a GGUF quantization with Multi-Token Prediction for faster GPU decoding in llama.cpp. Made by ByteShape for people running local mode…
bespokelabs · Kit
Gives a probability for every answer option when you pass a context and typed questions such as choices, yes or no, or ordered scores. A fine-tune of Qwen3.8-2…
beipo-ai · Kit
Operates desktop and browser apps from screenshots with a 9B dense computer-use model built on Qwen3.5. Suits developers who build computer-use agents with the…
allenai · Kit
Answers questions about images, videos and groups of images, and can point to what it finds. An open vision-language model from Ai2 for developers and research…
agentionai · Kit
Gives shorter, more direct answers than Qwen3.8-27B by using fewer answer and thinking tokens, so replies finish sooner. A light fine-tune that drops into the…