Swift 1.5 Ornith 9B GGUF
ukisai · Kit
Runs Swift 1.5 Ornith 9B, a reasoning model tuned to think with fewer tokens, as GGUF quantizations for llama.cpp. For people who run a 9B reasoning model on t…
ukisai · Kit
Runs Swift 1.5 Ornith 9B, a reasoning model tuned to think with fewer tokens, as GGUF quantizations for llama.cpp. For people who run a 9B reasoning model on t…
empero-ai · Kit
Reasons step by step through math, code and general questions, opening each answer with a thinking block. A 9B Qwen3.5 model trained on traces from a larger Qw…
prithivMLmods · Kit
Writes code and builds interactive 3D scenes as self-contained Three.js pages, using GGUF copies of an early-preview Qwen3.5-4B fine-tune. For developers who p…
dBenf · Kit
Answers typed questions about satellite image patches from all 12 Sentinel-2 bands, returning a probability for each option without writing text. A Qwen3.5-0.8…
vllm-sr · Kit
Answers choice, yes-or-no, score, box and tracking questions about text, images or video in one call, with a probability for each answer. For people building r…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, with a probability for each answer. A 2B decision model for routing and…
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. A small decision model for rout…
unsloth · Kit
Serves Qwen3.6 35B A3B in a fast NVFP4 build by Unsloth for vLLM on NVIDIA GPUs. The card says it has 1.79x the throughput of other NVFP4 builds and fits a 32…
unsloth · Kit
Handles agentic coding and image-plus-text tasks locally, as Unsloth's GGUF files for Qwen3.6-27B with thinking preservation and a long context. For developers…
unsloth · Kit
Unsloth's GGUF files of Qwen3.5-4B with multi-token prediction, which lets llama.cpp use speculative decoding for roughly 1.5 to 2 times faster generation. For…
torchcast-ai · Kit
A 4B decision model built on Qwen3.5-4B that returns yes/no probabilities, choice distributions and score distributions in one pass without generating text. Fo…
sainez · Kit
Gives you a 9B coding and tool-calling model as one 3.64 GiB GGUF file, quantized at about 3.5 bits per weight for running on your own machine.
rapid-mlx · Kit
A 27B vision-language model compressed to 3.5 bits per weight for Apple Silicon Macs with 24 GB of memory, served locally through Rapid-MLX. Suits Mac users an…
RadixArk · Kit
A pre-quantized NVFP4 copy of Qwen3.8-27B that reads text, images and video and answers in text, served with SGLang on NVIDIA Blackwell GPUs. Suits developers…
Qwen · Kit
A judge model called Q-Judger that grades AI-made images against the prompt that asked for them, scoring five groups of criteria and replying in JSON. For peop…
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…
perplexity-ai · Kit
Picks the best option for a decision from text and images, such as which team should handle a request, with a probability for each choice, for developers who b…
numind · Kit
Reads documents as text or images and fills a JSON template with the fields you ask for, or converts the pages to Markdown. A 4B model for teams that process s…
mlx-community · Kit
A 4-bit MLX copy of Cloudflare's clef-flash that turns a state and typed questions into a probability for every allowed answer on Apple Silicon Macs. Not a cha…
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…
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…
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…
THUSI-Lab · Kit
A small vision-language model built on Qwen3.5-0.8B from a research project on continued pre-training for embodied agents in many virtual game worlds. For rese…
prism-ml · Kit
Runs a 27B-class reasoning model packed to 1 bit per weight, about 3.9 GB, on Apple MLX, with 262K-token context. For developers who want a large model on a ph…
perplexity-ai · Kit
Scores queries against text, images and document pages with a ColBERT-style model that keeps one small vector per token. For developers who build search over m…
OmniJev · Kit
Reads a screenshot, photo, video or text with a few typed questions and returns a probability for each answer option in one pass. Built for developers of scree…
OmniJev · Kit
Reads a screenshot, photo, video or text plus your typed questions and returns a probability for each answer option, such as what an agent should do next or wh…
OmniJev · Kit
Answers typed questions about a screenshot, photo, video or text with a probability for each option. It suits developers who need fast decisions in an agent lo…