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Kimi-Linear-48B-A3B-Instruct-abliterated-1000-v1-GGUF
ENOSYS/Kimi-Linear-48B-A3B-Instruct-abliterated-1000-v1-GGUF
Kimi-Linear-48B-A3B-Instruct-abliterated-1000-v1-GGUF is a text generation model from ENOSYS. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
- Using non-standard (forked) LLaMA C++ branch for quantization. - Using a CLI tool to build KLD evaluation and imatrix calibration datasets for GGUF models, sourced from eaddario/imatrix-calibration.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 12, 2026
- SHA
- 57aaccb3
Base models
Datasets
Model card
From the Hugging Face model README
Experimental global target bits‑per‑weight quantization of huihui-ai/Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated
- Using non-standard (forked) LLaMA C++ branch for quantization.
- Using a CLI tool to build KLD evaluation and imatrix calibration datasets for GGUF models, sourced from eaddario/imatrix-calibration.
- Using dataset sources: tools, math, code, text_en, text_ru.
- Using dataset chunks: 1000.
- Tensors quantinization F16 instead of BF16, Nvidia Pascal architecture friendly like P100.
- Small set of patches added.
Many thanks to Ed Addario for an impressive job.
Quantization comparison
| BPW/TGS | SIZE (MiB) | PPL correlation | PPL mean ratio | ΔPPL | Mean KLD | Median KLD | Maximum KLD | 99.9% KLD | Mean Δp | RMS Δp |
|---|---|---|---|---|---|---|---|---|---|---|
| 3.000 | 17574 | 97.54% | 1.099746 ± 0.001198 | 0.703413 ± 0.008959 | 0.122940 ± 0.000426 | 0.066714 | 9.294135 | 2.637652 | -2.015 ± 0.019 % | 10.272 ± 0.039 % |
| 3.250 | 19038 | 98.25% | 1.064443 ± 0.000969 | 0.454454 ± 0.006978 | 0.089130 ± 0.000308 | 0.050624 | 10.323897 | 1.992209 | -1.732 ± 0.016 % | 8.814 ± 0.035 % |
| 3.500 | 20502 | 98.69% | 1.042289 ± 0.000821 | 0.298224 ± 0.005835 | 0.064519 ± 0.000265 | 0.032550 | 8.311751 | 1.765223 | -1.217 ± 0.014 % | 7.481 ± 0.033 % |
| 3.750 | 21966 | 99.04% | 1.030411 ± 0.000697 | 0.214459 ± 0.004989 | 0.047054 ± 0.000201 | 0.022846 | 8.346386 | 1.258301 | -0.654 ± 0.012 % | 6.340 ± 0.031 % |
| 4.000 | 23430 | 99.15% | 1.028018 ± 0.000653 | 0.197583 ± 0.004668 | 0.042084 ± 0.000178 | 0.020843 | 7.031458 | 1.095171 | -0.639 ± 0.011 % | 5.992 ± 0.029 % |
| 4.250 | 24894 | 99.25% | 1.021574 ± 0.000610 | 0.152141 ± 0.004327 | 0.036486 ± 0.000158 | 0.018297 | 6.763760 | 1.009924 | -0.568 ± 0.011 % | 5.619 ± 0.028 % |
| 4.500 | 26358 | 99.50% | 1.012304 ± 0.000495 | 0.086766 ± 0.003506 | 0.024419 ± 0.000105 | 0.012078 | 5.742187 | 0.643191 | -0.204 ± 0.009 % | 4.565 ± 0.023 % |
| 4.750 | 27822 | 99.61% | 1.007470 ± 0.000434 | 0.052677 ± 0.003063 | 0.019040 ± 0.000086 | 0.009403 | 4.860535 | 0.504090 | -0.200 ± 0.008 % | 4.035 ± 0.020 % |
| 5.000 | 29286 | 99.67% | 1.006065 ± 0.000397 | 0.042769 ± 0.002799 | 0.015935 ± 0.000073 | 0.008021 | 3.658825 | 0.425957 | -0.201 ± 0.007 % | 3.731 ± 0.020 % |
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Languages
- ru, en, multilingual
- Created
- May 12, 2026
- Updated
- May 12, 2026