DataWorld-35B-A3B
Zhanli-Li · Kit
A Qwen3.6-35B-A3B model tuned with multi-turn agentic reinforcement learning on the DataWorld tasks, for tool-calling agents. For teams serving a large mixture…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
Zhanli-Li · Kit
A Qwen3.6-35B-A3B model tuned with multi-turn agentic reinforcement learning on the DataWorld tasks, for tool-calling agents. For teams serving a large mixture…
ornith-ai · Kit
Writes code and handles terminal agent tasks, a mixture-of-experts model using about 3B parameters per token, packaged as an NVFP4 copy. For developers hosting…
unsloth · Kit
Works through logic, math, science and coding problems with a 21B mixture-of-experts model that activates 3B parameters per token, in GGUF files by Unsloth. Su…
sarvamai · Kit
A mixture-of-experts language model from Sarvam AI with 32.2B parameters and 2.4B active per token, built for practical use in English and many Indian language…
sarvamai · Kit
The GGUF version of Sarvam-105B, a large mixture-of-experts model with a focus on Indian languages, split into 9 shards at 4-bit for llama.cpp. For people with…
Qwen · Kit
Reads images and text together and answers in text, as a mixture-of-experts model with 122B total and 10B active parameters. Suits teams with big GPU servers w…
Qwen · Kit
A 30.5B mixture-of-experts chat model in GGUF format with only 3.3B parameters active per token, runnable in llama.cpp or ollama. It has thinking and plain mod…
Jundot · Kit
A mixed-precision MLX copy of zai-org's GLM-5.3-Flash multimodal mixture-of-experts model, about 4.6 bits per weight, with the vision encoder and multi-token p…
IsValorum · Kit
An English-only coding model in GGUF, a 42.6B mixture-of-experts quant of about 21.8 GB, for code completion, refactoring and agentic tool calls in llama.cpp o…
facebook · Kit
A Mixture-of-Experts vision encoder from Meta that matches images to text labels with no extra training, here the L/16 model at 384px. Licensed for non-commerc…
barozp · Kit
A 4-bit MLX build for Apple Silicon of a mixture-of-experts model carved from the dense Qwen3.8-27B, with 17.8B active of 27B total parameters. For people who…
baidu · Kit
Reasoning-focused ERNIE 4.5 mixture-of-experts text model with 21B total and 3B active parameters, 128K context and tool calling, in English and Chinese. For d…
allenai · Kit
Continues English text with a small-cost Mixture-of-Experts model that has 1B active and 7B total parameters. Fully open code, data and checkpoints make it a f…
ai-sage · Kit
Generates text in Russian and English for chat, code, reasoning and tool use. A 432B Mixture-of-Experts model with 28B active parameters, aimed at teams that h…
0xKitkat · Kit
Squeezes the Qwen3.8-Flash-Next mixture-of-experts model into about 37 GiB of text-only GGUF files for experiments. It needs a patched llama.cpp build that com…
reflection · Kit
Reads and writes text with a 1M-token context, built for coding, agent tool use and math reasoning, as a 501B-parameter mixture-of-experts model in NVFP4 form.…
poolside · Kit
Writes code and works through long coding tasks with tool calls, using a 33B mixture-of-experts model that activates 3B parameters per token. For developers wh…
meituan-longcat · Kit
Mixture-of-experts text model with 69B parameters, about 3B active per token, sparse attention and a 1M-token context. For teams hosting long-context models fo…
meituan-longcat · Kit
Multimodal mixture-of-experts model for long agentic tasks such as codebase work, full project builds and creative design, in a compressed W4A4 build. For team…
Kwaipilot · Kit
An open-weight coding model from Kwaipilot, a mixture-of-experts with 35B total and 3B active parameters, tuned for agentic coding and fewer tool-call glitches…