NikiKrutan/Kiwen1.2-27B-MTP-GGUF

AI model by NikiKrutan

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❗Don't use froggeric's chat template or its forks. These are not suitable for this model❗ Why these quants? First of all they are properly measured by meaningful metrics and compared to other popular quants (most other providers don't do this). You can see which quant is better and why. My quants were produced by my quality-first experimental tool, niki-allocator. The main difference of my method is per-tensor type allocation (not by community lore). Each tensor gets what is estimated to be best for it. Estimation is tuned by KLD runs, not just theory. After that best candidate allocations are tested with KLD runs to choose the winners. Source model To prove my method I've performed comparison with quants from other providers: TizzyT566, mradermacher Lower is better p99.9 is extremely corpus-driven with usual test corpus sizes of 300-400K tokens Useful for temperature 0 only, otherwise RMS Δp should be considered. Note…

NikiKrutan/Kiwen1.2-27B-MTP-GGUF on Hugging Face A short preview, not the full document.

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Model overview

NikiKrutan/Kiwen1.2-27B-MTP-GGUF is a task-unspecified model repository published by NikiKrutan on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-09-21T06:34:42.000Z
Last modified: 2026-09-21T06:34:42.000Z

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