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| author | Kawrakow <48489457+ikawrakow@users.noreply.github.com> | 2024-02-06 19:00:16 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-02-06 19:00:16 +0200 |
| commit | b08f22c882a1443e6b97081f3ce718a4d1a741f8 (patch) | |
| tree | ddfe289fed86e1d59a21ea2d6f625ff44620eec5 | |
| parent | f57fadc009cbff741a1961cb7896c47d73978d2c (diff) | |
Update README.md (#5366)
Add some links to quantization related PRs
| -rw-r--r-- | README.md | 14 |
1 files changed, 13 insertions, 1 deletions
@@ -736,9 +736,21 @@ Several quantization methods are supported. They differ in the resulting model d | 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) -- recent k-quants improvements +- 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-qunats 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) ### Perplexity (measuring model quality) |