Upload bigcode/starcoder ctranslate fp16 weights

README.md

@@ -266,12 +266,12 @@ quantized version of [bigcode/starcoder](https://huggingface.co/bigcode/starcode
 ```bash
 pip install hf-hub-ctranslate2>=2.0.8 
 ```
-Converted on 2023-05-23 using
+Converted on 2023-05-30 using
 ```
-ct2-transformers-converter --model bigcode/starcoder --output_dir /home/michael/tmp-ct2fast-starcoder --force --copy_files merges.txt tokenizer.json README.md tokenizer_config.json generation_config.json special_tokens_map.json .gitattributes --quantization float16
+ct2-transformers-converter --model bigcode/starcoder --output_dir /home/michael/tmp-ct2fast-starcoder --force --copy_files merges.txt tokenizer.json README.md tokenizer_config.json vocab.json generation_config.json special_tokens_map.json .gitattributes --quantization float16 --trust_remote_code
 ```
 
-Checkpoint compatible to [ctranslate2>=3.14.0](https://github.com/OpenNMT/CTranslate2) and [hf-hub-ctranslate2>=2.0.6](https://github.com/michaelfeil/hf-hub-ctranslate2)
+Checkpoint compatible to [ctranslate2>=3.14.0](https://github.com/OpenNMT/CTranslate2) and [hf-hub-ctranslate2>=2.0.8](https://github.com/michaelfeil/hf-hub-ctranslate2)
 - `compute_type=int8_float16` for `device="cuda"` 
 - `compute_type=int8`  for `device="cpu"`
 
@@ -289,7 +289,7 @@ model = GeneratorCT2fromHfHub(
         # tokenizer=AutoTokenizer.from_pretrained("bigcode/starcoder")
 )
 outputs = model.generate(
-    text=["def hello_world()", "User: How are you doing? Bot:"],
+    text=["How do you call a fast Flan-ingo?", "User: How are you doing? Bot:"],
     max_length=64
 )
 print(outputs)

model.bin

@@ -1,3 +1,3 @@
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-size 36949870923
+oid sha256:4957219992c0e64cdc513ae4e2e5b31814cb49505af551672345708ed4e33621
+size 31034941879