Qwen3.8-27B-oQ8e-mtp
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 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…
JoyIndustrial · Kit
Answers multiple-choice style questions about images and text with option probabilities, using a Qwen3.8-27B decision system with built-in OCR. For developers…
JinchuanTian · Kit
Turns recordings up to about two hours long into a timeline of speech, music and sound events with start and end times, and also transcribes speech with speake…
Jackrong · Kit
Thinks through problems step by step inside think tags, as a 4B Qwen3.5 model fine-tuned on reasoning chains and packaged as GGUF. For people who run a small r…
Runs a tiny 0.8B reasoning-tuned chat model in the MLX format at 6-bit, converted from Jackrong's Qwen3.5 distilled model. For people who want a tiny local mod…
IteraCompute · Kit
Serves Qwen3.8-27B in NVFP4 on one RTX 5090 with vLLM, with a checksum-verified download, FP8 KV cache, tool calls and reasoning support. For developers self-h…
h2oai · Kit
Answers typed decision questions about a document, ticket, policy or conversation, and about its images, giving each option a probability. For teams that want…
Egzakta · Kit
Runs a 27B model that reads images and text, in FP8 for vLLM. It reasons with far fewer tokens than a Qwen model of the same size. Made for people who host the…
Egzakta · Kit
Reasons over images and text with fewer thinking tokens than its base Qwen3.8-27B, so answers arrive in about half the time at similar accuracy, per its card.…
ebinan92 · Kit
Reads Ukrainian handwritten documents from images, finds each text region, labels its type and returns the transcriptions as structured JSON. An open 4B vision…
dmeight · Kit
Runs Qwen3.8-27B at 8-bit through the Splash runtime in LM Studio on Apple silicon. An unofficial package that keeps the model closer to the original than the…
datalab-to · Kit
Reads text from document images with a 689M parameter model, and also finds text lines, layout blocks and reading order. Suits developers who turn scans and ph…
datalab-to · Kit
Pulls structured data out of PDFs and images. You supply a JSON schema, and it returns an object that matches it. A 9.7B vision-language model from Datalab for…
ConwayResearch · Kit
Generates text as a compact 4.2B model, post-trained from Qwen 3 4B to work better with Underdog's own setup and quantized to 4-bit for MLX. For people running…
autotrust · Kit
Speeds up Qwen3.8-27B NVFP4 decoding about 3.9 times on a DGX Spark, using the same weights and a tuned speculative-decoding setup. For teams serving it with v…
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…
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…