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| author | Georgi Gerganov <ggerganov@gmail.com> | 2023-05-19 22:17:18 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-05-19 22:17:18 +0300 |
| commit | 2d5db48371052087a83974abda3767d1aedec598 (patch) | |
| tree | ca7e6ad4b2be21d96272aece6489b2f39c444ecb /README.md | |
| parent | 6986c7835adc13ba3f9d933b95671bb1f3984dc6 (diff) | |
ggml : use F16 instead of F32 in Q4_0, Q4_1, Q8_0 (#1508)
* ggml : use F16 instead of F32 in Q4_0, Q4_1 and Q8_0
* llama : bump LLAMA_FILE_VERSION to 3
* cuda : update Q4 and Q8 dequantize kernels
* ggml : fix AVX dot products
* readme : update performance table + hot topics
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 21 |
1 files changed, 11 insertions, 10 deletions
@@ -9,6 +9,7 @@ Inference of [LLaMA](https://arxiv.org/abs/2302.13971) model in pure C/C++ **Hot topics:** +- Quantization formats `Q4` and `Q8` have changed again (19 May) - [(info)](https://github.com/ggerganov/llama.cpp/pull/1508) - Quantization formats `Q4` and `Q5` have changed - requantize any old models [(info)](https://github.com/ggerganov/llama.cpp/pull/1405) - [Roadmap May 2023](https://github.com/ggerganov/llama.cpp/discussions/1220) @@ -334,16 +335,16 @@ Several quantization methods are supported. They differ in the resulting model d | Model | Measure | F16 | Q4_0 | Q4_1 | Q5_0 | Q5_1 | Q8_0 | |------:|--------------|-------:|-------:|-------:|-------:|-------:|-------:| -| 7B | perplexity | 5.9066 | 6.1565 | 6.0910 | 5.9862 | 5.9481 | 5.9069 | -| 7B | file size | 13.0G | 4.0G | 4.8G | 4.4G | 4.8G | 7.1G | -| 7B | ms/tok @ 4th | 128 | 50 | 54 | 75 | 83 | 75 | -| 7B | ms/tok @ 8th | 123 | 44 | 52 | 53 | 58 | 72 | -| 7B | bits/weight | 16.0 | 5.0 | 6.0 | 5.5 | 6.0 | 9.0 | -| 13B | perplexity | 5.2543 | 5.3860 | 5.3607 | 5.2856 | 5.2706 | 5.2548 | -| 13B | file size | 25.0G | 7.6G | 9.1G | 8.4G | 9.1G | 14G | -| 13B | ms/tok @ 4th | 239 | 93 | 101 | 150 | 164 | 141 | -| 13B | ms/tok @ 8th | 240 | 81 | 96 | 96 | 104 | 136 | -| 13B | bits/weight | 16.0 | 5.0 | 6.0 | 5.5 | 6.0 | 9.0 | +| 7B | perplexity | 5.9066 | 6.1565 | 6.0912 | 5.9862 | 5.9481 | 5.9070 | +| 7B | file size | 13.0G | 3.5G | 3.9G | 4.3G | 4.7G | 6.7G | +| 7B | ms/tok @ 4th | 127 | 55 | 54 | 76 | 83 | 72 | +| 7B | ms/tok @ 8th | 122 | 43 | 45 | 52 | 56 | 67 | +| 7B | bits/weight | 16.0 | 4.5 | 5.0 | 5.5 | 6.0 | 8.5 | +| 13B | perplexity | 5.2543 | 5.3860 | 5.3608 | 5.2856 | 5.2706 | 5.2548 | +| 13B | file size | 25.0G | 6.8G | 7.6G | 8.3G | 9.1G | 13G | +| 13B | ms/tok @ 4th | - | 103 | 105 | 148 | 160 | 131 | +| 13B | ms/tok @ 8th | - | 73 | 82 | 98 | 105 | 128 | +| 13B | bits/weight | 16.0 | 4.5 | 5.0 | 5.5 | 6.0 | 8.5 | ### Perplexity (measuring model quality) |