Laplace-1-Atlas
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…
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…
nvidia · Kit
Reads chest and abdominal CT volumes to write structured radiology reports, answer questions and explain its reasoning. For researchers and developers working…
mlx-community · Kit
A 4-bit mixed-precision MLX version of Qwen3.5-9B for local text generation on Apple Silicon, with a bundled multi-token prediction head. For Mac users who run…
microsoft · Kit
A compact coding agent model that works through a repository, finds bugs, edits files and runs tests with a five-tool framework called Leaf. Made for developer…
microsoft · Kit
A computer use agent model from Microsoft Research that reads browser screenshots and picks the next click, typing or scroll to finish web tasks. It suits deve…
maylore-ai · Kit
Rust coding model of 4.2B parameters, built on Qwen3.5-4B, that answers requests in Russian and English. For Rust developers who want a small model for functio…
khazarai · Kit
Debugs and reviews code by checking real files before it proposes a fix, a Qwen3.8-27B fine-tune trained on 195M tokens of reasoning traces. For developers who…
kakoka · Kit
Helps write and change PostgreSQL source code with a 27B coding model, 8-bit quantized to run locally on Apple Silicon Macs through oMLX. For PostgreSQL develo…
kaitchup · Kit
Compresses Qwen3.8-27B into three GGUF files with different size and fidelity levels, using a custom statistically lossless quantization. For people who run th…
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…
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…