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ct2fast-flan-alpaca-xl/.gitattributes

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ct2fast-flan-alpaca-xl/README.md

@@ -0,0 +1,41 @@
+---
+license: apache-2.0
+tags:
+- ctranslate2
+- t5
+---
+# Fast-Inference with Ctranslate2
+Speedup inference by 2x-8x using int8 inference in C++
+
+quantized version of [declare-lab/flan-alpaca-xl](https://huggingface.co/declare-lab/flan-alpaca-xl)
+```bash
+pip install hf_hub_ctranslate2>=1.0.0 ctranslate2>=3.13.0
+```
+
+
+Checkpoint compatible to [ctranslate2](https://github.com/OpenNMT/CTranslate2) and [hf-hub-ctranslate2](https://github.com/michaelfeil/hf-hub-ctranslate2)
+- `compute_type=int8_float16` for `device="cuda"` 
+- `compute_type=int8`  for `device="cpu"`
+
+```python
+from hf_hub_ctranslate2 import TranslatorCT2fromHfHub, GeneratorCT2fromHfHub
+
+model_name = "michaelfeil/ct2fast-flan-alpaca-xl"
+model = TranslatorCT2fromHfHub(
+        # load in int8 on CUDA
+        model_name_or_path=model_name, 
+        device="cuda",
+        compute_type="int8_float16"
+)
+outputs = model.generate(
+    text=["How do you call a fast Flan-ingo?", "Translate to german: How are you doing?"],
+    min_decoding_length=24,
+    max_decoding_length=32,
+    max_input_length=512,
+    beam_size=5
+)
+print(outputs)
+```
+
+# Licence and other remarks:
+This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo.

ct2fast-flan-alpaca-xl/config.json

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+  "bos_token": "<pad>",
+  "decoder_start_token": "<pad>",
+  "eos_token": "</s>",
+  "unk_token": "<unk>"
+}

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ct2fast-flan-alpaca-xl/tokenizer_config.json

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multilingual-e5-base/config.json

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