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…
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AI skills and agents for developers
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
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Listings
Ornith-1.5-35B-A3B-NVFP4
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…
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MiMo-V2.6-Pro-MOPD
XiaomiMiMo · Kit
Handles text, image, video and audio with a 1T-parameter mixture of experts tuned to repeat tool calls less in agent work. For teams that can host models of th…
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ERNIE-4.5-21B-A3B-Thinking-GGUF
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…
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Sarvam-30B
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…
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Sarvam-105B GGUF
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…
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Qwen3.5-122B-A10B
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…
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Qwen3-30B-A3B-GGUF
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…
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DeepSeek-V4.1-Flash-1017-EXL3-franken-v100
philbert440 · Kit
Runs DeepSeek V4.1 Flash at its full 1M-token context on eight Tesla V100 32 GB cards, using an EXL3 expert pack and an SM70 vLLM build. For owners of such ser…
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flint-mixed-3-4bit
mlx-community · Kit
A community MLX build of Recursive's 40B Flint coding model that shrinks the experts to 3 bits, so it fits a 24 GB or 32 GB Apple Silicon Mac. Made for develop…
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GLM-5.3-Flash-oQ4e-mtp
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…
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Qwen3.8-Flash-Coder APEX-I-MiniPlus V2.1 GGUF
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…
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MoEViE-L16-384
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…
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Qwen3.8-Whittle-MoE-27B-MLX-4bit
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…
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ERNIE-4.5-21B-A3B-Thinking
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…
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OLMoE-1B-7B-0924
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…
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MiMo-V2.6-Flash-RL-NVFP4
primitive-ai · Kit
Serves Xiaomi's MiMo-V2.6-Flash-RL as an NVFP4 build for Blackwell GPUs, with the release's exact expert values and more throughput on two 96 GB cards. For peo…
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GigaChat3.5-432B-A28B
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…
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Qwen3.8-Flash-Next-125B-UltraLite-37GiB-GGUF
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…
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GLM-5.3-SuperExpert-v2-9.2GB
shashanth-27xA9 · Kit
A text generation model compressed from GLM-5.3-Flash to 9.2 GB that its author says runs on a 16 GB laptop or a free Colab T4. Non-commercial license.
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