google_gemma-4-31B-it-GGUF
bartowski · Kit
Quantized GGUF files of Google's Gemma 4 31B instruction model, from 17.15 GB to 61.41 GB, made by bartowski with an importance matrix. Reads images and text.…
bartowski · Kit
Quantized GGUF files of Google's Gemma 4 31B instruction model, from 17.15 GB to 61.41 GB, made by bartowski with an importance matrix. Reads images and text.…
bartowski · Kit
Static GGUF quantizations of Cloudflare's clef decision model, which scores every answer option to typed questions about a state in one pass instead of writing…
baidu · Kit
Reads images and text and reasons about them, with about 3B of its 29.7B parameters active at a time. Covers chart reading, STEM problems from photos, visual g…
ATH-MaaS · Kit
Document parsing model that reads a page image and writes Markdown in reading order, covering text, formulas and tables. About 0.8B parameters, run through vLL…
amd · Kit
Runs Qwen3.8-27B as a smaller MXFP4-quantized copy made with AMD Quark and AWQ, served through vLLM. Made for developers who want a compressed 27B vision-langu…
datalab-to · Kit
Reads text, tables and layout from document images and returns it as text. GGUF builds of the Surya 2.5 OCR model for llama.cpp, for people who run document OC…
unsloth · Kit
Reads text and images, writes code and calls tools on your own machine, as Unsloth's refreshed GGUF files for the Qwen3.5 35B-A3B vision-language model. For de…
opendatalab · Kit
Reads document page images and returns text, as a 1.2B-parameter model built for document parsing in Chinese and English. It suits teams that turn scanned page…
allenai · Kit
Answers questions about images, video and several images at once, and can point to things it finds. Made for developers who want an open 8B vision-language mod…
AhmedReda25300 · Kit
Picks the best answer label from a short Arabic situation, a question and optional choices. Made for developers who route or decide Arabic tasks with a small 0…
agentionai · Kit
Packs Qwen3.8-27B as llama.cpp GGUF files in eight sizes from 8.95 to 16.35 GiB, plus a vision projector. The author reports less drift from the BF16 model tha…
Accio-Lab · Kit
An open 35B image and text model from Accio-Lab, based on Qwen3.6-35B-A3B, in BF16, GGUF, FP8, NVFP4 and MLX formats. For teams that serve a large model.
abacusai · Kit
Answers a typed question about audio, an image or text with a probability for each option, in one pass and with no generated text. A 4B decision model fine-tun…
0xSero · Kit
Runs GLM-5.3-Flash with a 256k-token context and image input on one DGX Spark, using a mixed 2.31 bits-per-weight EXL3 build. For people hosting a large model…
JuneoAI · Kit
Helps organizations decide who does a task, who sees information, what runs and what gets accepted, by scoring candidate options in one pass. A 27.4B model bui…
ZelligeAI · Kit
Runs coding-agent loops with a 27B model that thinks in a compressed English and Chinese shorthand, so it spends fewer thinking tokens per turn. For developers…
unsloth · Kit
Codes and reasons with Qwen3.6 27B in GGUF files by Unsloth that carry multi-token prediction, which the card says speeds up replies about 1.5 to 2 times with…
unsloth · Kit
Runs the small Qwen3.5 0.8B vision-language model in llama.cpp with multi-token prediction for faster generation, as Unsloth's GGUF files. For developers testi…
unsloth · Kit
Runs a 30B agent model locally that reads text and images, calls tools and retries failed calls, from Unsloth's GGUF files. For developers building local agent…
unsloth · Kit
Runs Google's Gemma 4 31B instruction model from Unsloth's 4-bit QAT GGUF files, with an included drafter for faster speculative decoding in llama.cpp. For peo…