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examples/quantize/README.md
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@ -69,22 +69,22 @@ Several quantization methods are supported. They differ in the resulting model d
| 13B | ms/tok @ 8th | - | 73 | 82 | 98 | 105 | 128 |
| 13B | bits/weight | 16.0 | 4.5 | 5.0 | 5.5 | 6.0 | 8.5 |
- [k-quants](https://github.com/ggerganov/llama.cpp/pull/1684)
- [k-quants](https://github.com/ggml-org/llama.cpp/pull/1684)
- recent k-quants improvements and new i-quants
- [#2707](https://github.com/ggerganov/llama.cpp/pull/2707)
- [#2807](https://github.com/ggerganov/llama.cpp/pull/2807)
- [#4773 - 2-bit i-quants (inference)](https://github.com/ggerganov/llama.cpp/pull/4773)
- [#4856 - 2-bit i-quants (inference)](https://github.com/ggerganov/llama.cpp/pull/4856)
- [#4861 - importance matrix](https://github.com/ggerganov/llama.cpp/pull/4861)
- [#4872 - MoE models](https://github.com/ggerganov/llama.cpp/pull/4872)
- [#4897 - 2-bit quantization](https://github.com/ggerganov/llama.cpp/pull/4897)
- [#4930 - imatrix for all k-quants](https://github.com/ggerganov/llama.cpp/pull/4930)
- [#4951 - imatrix on the GPU](https://github.com/ggerganov/llama.cpp/pull/4957)
- [#4969 - imatrix for legacy quants](https://github.com/ggerganov/llama.cpp/pull/4969)
- [#4996 - k-quants tuning](https://github.com/ggerganov/llama.cpp/pull/4996)
- [#5060 - Q3_K_XS](https://github.com/ggerganov/llama.cpp/pull/5060)
- [#5196 - 3-bit i-quants](https://github.com/ggerganov/llama.cpp/pull/5196)
- [quantization tuning](https://github.com/ggerganov/llama.cpp/pull/5320), [another one](https://github.com/ggerganov/llama.cpp/pull/5334), and [another one](https://github.com/ggerganov/llama.cpp/pull/5361)
- [#2707](https://github.com/ggml-org/llama.cpp/pull/2707)
- [#2807](https://github.com/ggml-org/llama.cpp/pull/2807)
- [#4773 - 2-bit i-quants (inference)](https://github.com/ggml-org/llama.cpp/pull/4773)
- [#4856 - 2-bit i-quants (inference)](https://github.com/ggml-org/llama.cpp/pull/4856)
- [#4861 - importance matrix](https://github.com/ggml-org/llama.cpp/pull/4861)
- [#4872 - MoE models](https://github.com/ggml-org/llama.cpp/pull/4872)
- [#4897 - 2-bit quantization](https://github.com/ggml-org/llama.cpp/pull/4897)
- [#4930 - imatrix for all k-quants](https://github.com/ggml-org/llama.cpp/pull/4930)
- [#4951 - imatrix on the GPU](https://github.com/ggml-org/llama.cpp/pull/4957)
- [#4969 - imatrix for legacy quants](https://github.com/ggml-org/llama.cpp/pull/4969)
- [#4996 - k-quants tuning](https://github.com/ggml-org/llama.cpp/pull/4996)
- [#5060 - Q3_K_XS](https://github.com/ggml-org/llama.cpp/pull/5060)
- [#5196 - 3-bit i-quants](https://github.com/ggml-org/llama.cpp/pull/5196)
- [quantization tuning](https://github.com/ggml-org/llama.cpp/pull/5320), [another one](https://github.com/ggml-org/llama.cpp/pull/5334), and [another one](https://github.com/ggml-org/llama.cpp/pull/5361)
**Llama 2 7B**