Add info about MADLAD-400 in readme files (#1287)

README.md

@@ -173,7 +173,7 @@ If you have an addition to this list, please submit a pull request.
         - Mistral 7b v0.1.
         - StableLM-3B-4E1T.
         - Replit-code-v1.5-3B.
-        - T5.
+        - T5 and its variants: FlanT5, MADLAD400 (translation), CoEdit (Grammar correction).
         - Bert.
     - Whisper (multi-lingual support).
     - Text to image.

candle-examples/examples/quantized-t5/README.md

@@ -1,5 +1,7 @@
 # candle-quantized-t5
 
+## Seq2Seq example
+
 This example uses a quantized version of the t5 model.
 
 ```bash
@@ -8,6 +10,8 @@ $ cargo run --example quantized-t5 --release -- --prompt "translate to German: A
  Eine schöne Kerze.
 ```
 
+## Generating Quantized weight files
+
 The weight file is automatically retrieved from the hub. It is also possible to
 generate quantized weight files from the original safetensors file by using the
 `tensor-tools` command line utility via:
@@ -16,8 +20,11 @@ generate quantized weight files from the original safetensors file by using the
 $ cargo run --example tensor-tools --release -- quantize --quantization q6k PATH/TO/T5/model.safetensors /tmp/model.gguf
 ```
 
-To use a different model, specify the `model-id`. For example, you can use
-quantized [CoEdit models](https://huggingface.co/jbochi/candle-coedit-quantized).
+## Using custom models
+
+To use a different model, specify the `model-id`.
+
+For example, for text editing, you can use quantized [CoEdit models](https://huggingface.co/jbochi/candle-coedit-quantized).
 
 ```bash
 $ cargo run --example quantized-t5 --release  -- \
@@ -26,6 +33,7 @@ $ cargo run --example quantized-t5 --release  -- \
   --temperature 0
 ...
  Although their flight is weak, they run quickly through the tree canopy.
+```
 
 By default, it will look for `model.gguf` and `config.json`, but you can specify
 custom local or remote `weight-file` and `config-file`s:
@@ -40,3 +48,16 @@ cargo run --example quantized-t5 --release  -- \
 ...
  Note that a storm surge is what forecasters consider a hurricane's most dangerous part.
 ```
+
+### [MADLAD-400](https://arxiv.org/abs/2309.04662)
+
+MADLAD-400 is a series of multilingual machine translation T5 models trained on 250 billion tokens covering over 450 languages using publicly available data. These models are competitive with significantly larger models.
+
+```bash
+cargo run --example quantized-t5 --release  -- \
+  --model-id "jbochi/madlad400-3b-mt" --weight-file "model-q4k.gguf" \
+  --prompt "<2de> How are you, my friend?" \
+  --temperature 0
+...
+ Wie geht es dir, mein Freund?
+```

candle-examples/examples/t5/README.md

@@ -5,11 +5,23 @@
 ```bash
 $ cargo run --example t5 --release -- --model-id "t5-small" --prompt "translate to German: A beautiful candle." --decode
 ...
-Running on CPU, to run on GPU, build this example with `--features cuda`
  Eine schöne Kerze.
 9 tokens generated (2.42 token/s)
 ```
 
+## Translation with [MADLAD-400](https://arxiv.org/abs/2309.04662)
+
+MADLAD-400 is a series of multilingual machine translation T5 models trained on 250 billion tokens covering over 450 languages using publicly available data. These models are competitive with significantly larger models.
+
+```bash
+cargo run --example t5 --release  -- \
+  --model-id "jbochi/madlad400-3b-mt" \
+  --prompt "<2de> How are you, my friend?" \
+  --decode --temperature 0
+...
+ Wie geht es dir, mein Freund?
+```
+
 ## Sentence embedding example:
 
 ```bash