Update README.md

Add Aya and Hunyuan MT models to metrics table

README.md

@@ -105,12 +105,13 @@ The model is in `ctranslate2` format, and the tokenizers are `sentencepiece`, so
 
 `bleu` and `chrf2` are calculated with [sacrebleu](https://github.com/mjpost/sacrebleu) on the [Flores200 `devtest` test set](https://huggingface.co/datasets/facebook/flores). `comet22` with the [`comet`](https://github.com/Unbabel/COMET) library and the [default model](https://huggingface.co/Unbabel/wmt22-comet-da). "Time (s)" is the time in seconds to translate the flores-devtest dataset (1012 sentences) on an RTX 4070s GPU with batch size 32.
 
-
-|                                  |   bleu |   chrf2 |   comet22 |   Time (s) |
-|:---------------------------------|-------:|--------:|----------:|-----------:|
-| quickmt/quickmt-ar-en            |  44.11 |   67.96 |     87.64 |       1.11 |
-| Helsinki-NLP/opus-mt-ar-en       |  34.22 |   61.26 |     84.5  |       3.67 |
-| facebook/nllb-200-distilled-600M |  39.13 |   64.14 |     86.22 |      21.76 |
-| facebook/nllb-200-distilled-1.3B |  42.29 |   66.55 |     87.55 |      37.7  |
-| facebook/m2m100_418M             |  29.41 |   57.68 |     82.21 |      18.53 |
-| facebook/m2m100_1.2B             |  29.77 |   56.7  |     80.77 |      36.23 |
+|                                             |   bleu |   chrf2 |   comet22 |   Time (s) |
+|:--------------------------------------------|-------:|--------:|----------:|-----------:|
+| quickmt/quickmt-ar-en                       |  44.11 |   67.96 |     87.64 |       1.11 |
+| Helsinki-NLP/opus-mt-ar-en                  |  34.22 |   61.26 |     84.5  |       3.67 |
+| facebook/nllb-200-distilled-600M            |  39.13 |   64.14 |     86.22 |      21.76 |
+| facebook/nllb-200-distilled-1.3B            |  42.29 |   66.55 |     87.55 |      37.7  |
+| facebook/m2m100_418M                        |  29.41 |   57.68 |     82.21 |      18.53 |
+| facebook/m2m100_1.2B                        |  29.77 |   56.7  |     80.77 |      36.23 |
+| tencent/Hunyuan-MT-7B-fp8                   |  29.48 |   61.62 |     88.37 |       28   |
+| CohereLabs/aya-expanse-8b (vllm, bnb quant) |  39.90 |   65.57 |     89.1  |       74   |