---
language: 
  - en
datasets:
  - natural_instructions
  - the_pile
  - cot
  - Muennighoff/P3
tags:
  - 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"
---

# Quick Start

```python
from transformers import pipeline

pipe = pipeline(model='togethercomputer/GPT-JT-6B-v0')

pipe("Where is Zurich? Ans:")
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_togethercomputer__GPT-JT-6B-v0)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 38.37   |
| ARC (25-shot)         | 42.06          |
| HellaSwag (10-shot)   | 67.96    |
| MMLU (5-shot)         | 49.34         |
| TruthfulQA (0-shot)   | 38.89   |
| Winogrande (5-shot)   | 64.8   |
| GSM8K (5-shot)        | 1.21        |
| DROP (3-shot)         | 4.31         |