Qwen3.6-35B-A3B 2-bit GSQ GGUF
chtisgit · Kit
Runs a 35B Qwen model in a 2-bit GSQ GGUF conversion with a separate vision projector for llama.cpp. For people who want a large model in a small file on CPU o…
chtisgit · Kit
Runs a 35B Qwen model in a 2-bit GSQ GGUF conversion with a separate vision projector for llama.cpp. For people who want a large model in a small file on CPU o…
speridlabs · Kit
Generates 1024-pixel images from text prompts by painting every pixel directly, with no VAE or latent space. Fine-tuned versions estimate depth and restore or…
Salesforce · Kit
Runs Salesforce's BLIP vision and language model in a Gradio page, with the training scripts for captioning, retrieval and question answering in the repository…
MahsaShahidi · Kit
Writes a caption in Persian for a picture, using a vision model and a Persian language model in a Gradio page, with three example images included. For students…
keras-io · Kit
Lets you try a small Vision Transformer image model from keras-io in a Gradio page, with example pictures included. Aimed at students and developers who want t…
keras-io · Kit
Lets you try a video vision transformer on CT-style data in a Gradio page, with two example videos included. Aimed at students and developers curious about vid…
keras-io · Kit
Lets you try a Swin Transformer image model from keras-io in a Gradio page, with example pictures included. Aimed at students and developers who want to see a…
keras-io · Kit
Demonstrates a Keras NeRF, a neural radiance field model that learns a 3D scene from pictures, in a Streamlit page. For computer vision learners and 3D graphic…
keras-io · Kit
Runs an image model built with involution layers from the Keras team in a Gradio page, with example images included. For machine learning learners and vision r…
keras-io · Kit
Labels the parts of a person in a photo, such as limbs and torso, with a DeepLabV3+ model from Keras in a Gradio page, with example images. For learners and co…
mradermacher · Kit
Weighted GGUF quantizations of BAAI/AREX-2, a 26.9B vision model, in about two dozen sizes from 7.2 GB to 22.2 GB, plus an imatrix file for making your own qua…
baselabs · Kit
Returns calibrated probabilities for yes-or-no, multiple-choice and scored questions about a text or an image, from one 2B model. For teams that route, triage…
bartowski · Kit
A set of GGUF quantizations of Qwen3.8-27B by bartowski, from Q8_0 down to 3-bit, made with an importance matrix. For people running a 27B vision-language mode…
bartowski · Kit
GGUF quantizations of Jackrong's Qwopus3.8-27B-Coder-Flash, made by bartowski with an importance matrix, in sizes from 17 GB to 55 GB. For running a 27B model…
vllm-sr · Kit
A 9B model that answers several choice, yes or no and score questions about text, images or video in one call, returning a probability for every answer instead…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, returning a probability for each answer instead of text. A 27B decision…
StillDeadcode · Kit
Qwen3.8-27B compressed to fifteen sizes from about 2.5 to 8 bits per weight, for the radiance engine on AMD RDNA4 GPUs, with image reading and a speed-up draft…
Qwen · Kit
Reads text and images and writes text, as a 27B Qwen model with a vision encoder and a 262,144-token native context. For developers who build assistants and ag…
mlx-community · Kit
4-bit MLX conversion of Qwen3.8-27B that reads text and images and answers in text, run with the mlx-vlm tool. For developers who want to run a vision-language…
InternScience · Kit
Runs Sage-A1.5, a 35B mixture-of-experts agentic model for long scientific tasks, as a 4-bit GGUF file. It can split work across subagents and check its own pr…