Upload togethercomputer/GPT-JT-6B-v0 ctranslate fp16 weights

README.md

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+---
+language: 
+  - en
+datasets:
+  - natural_instructions
+  - the_pile
+  - cot
+  - Muennighoff/P3
+tags:
+- ctranslate2
+- int8
+- float16
+  - gpt
+pipeline_tag: text-generation
+inference:
+  parameters:
+    temperature: 0.1
+widget:
+- text: "Is this review positive or negative? Review: Best cast iron skillet you will ever buy. Answer:"
+  example_title: "Sentiment analysis"
+- text: "Where is Zurich? Ans:"
+  example_title: "Question Answering"
+---
+# # Fast-Inference with Ctranslate2
+Speedup inference by 2x-8x using int8 inference in C++
+
+quantized version of [togethercomputer/GPT-JT-6B-v0](https://huggingface.co/togethercomputer/GPT-JT-6B-v0)
+```bash
+pip install hf-hub-ctranslate2>=2.0.6 ctranslate2>=3.13.0
+```
+Converted on 2023-05-19 using
+```
+ct2-transformers-converter --model togethercomputer/GPT-JT-6B-v0 --output_dir /home/michael/tmp-ct2fast-GPT-JT-6B-v0 --force --copy_files merges.txt tokenizer.json README.md tokenizer_config.json vocab.json special_tokens_map.json added_tokens.json .gitattributes --quantization float16
+```
+
+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
+from transformers import AutoTokenizer
+
+model_name = "michaelfeil/ct2fast-GPT-JT-6B-v0"
+# use either TranslatorCT2fromHfHub or GeneratorCT2fromHfHub here, depending on model.
+model = GeneratorCT2fromHfHub(
+        # load in int8 on CUDA
+        model_name_or_path=model_name, 
+        device="cuda",
+        compute_type="int8_float16",
+        tokenizer=AutoTokenizer.from_pretrained("togethercomputer/GPT-JT-6B-v0")
+)
+outputs = model.generate(
+    text=["How do you call a fast Flan-ingo?", "User: How are you doing?"],
+)
+print(outputs)
+```
+
+# Licence and other remarks:
+This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo.
+
+# Original description
+    
+
+# Quick Start
+
+```python
+from transformers import pipeline
+
+pipe = pipeline(model='togethercomputer/GPT-JT-6B-v0')
+
+pipe("Where is Zurich? Ans:")
+```

added_tokens.json

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+{
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+  "<|extratoken_101|>": 50357,
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+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}