Maple-Preview
deepgrove · Kit
A 20B ternary-weight reasoning model that activates about 1B parameters per token. Built for fast on-device use, with a 5.31 GB checkpoint and 131,072 token co…
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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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OpenBonsai Qwen3.5-9B Ternary
webbrain-one · Kit
Runs Qwen3.5-9B squeezed to ternary weights in a roughly 2 GB GGUF file, for CPU use in two llama.cpp variants. A research preview for people who experiment wi…
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ttf-Qwen3.8-Flash-Next-GGUF
oguzeldereli · Kit
Runs Qwen3.8-Flash-Next, a 180B mixture-of-experts model squeezed to ternary weights, from one 40.4 GB GGUF file that is 4.6 times smaller than the FP8 release…
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ttf-Qwen3.8-27B-GGUF
oguzeldereli · Kit
Runs Qwen3.8-27B squeezed to ternary weights as GGUF files that fit on a 12 GB GPU, in an 8.2 GB and a 6.74 GB variant. For people who want a large local model…
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bitnet.cpp
microsoft · Kit
Microsoft’s official inference framework for 1-bit LLMs, built on llama.cpp. It runs ternary models such as BitNet b1.58 on x86 and ARM CPUs, and has a GPU ker…
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