---
tags:
- code
license: apache-2.0
model-index:
- name: Vicuna-Coder
  results:
  - task:
      type: text-generation             # Required. Example: automatic-speech-recognition
    dataset:
      type: nuprl/MultiPL-E         # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
      name: MultiPL-HumanEval (Python)          # Required. A pretty name for the dataset. Example: Common Voice (French)
    metrics:
      - type: pass@1         # Required. Example: wer. Use metric id from https://hf.co/metrics
        value: 0.274       # Required. Example: 20.90
        name: pass@1         # Optional. Example: Test WER
        verified: false
---
---
# Model Card for Model ID

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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

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- **Developed by:** [More Information Needed]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

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## Training Details

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### Training Procedure 

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#### Preprocessing [optional]

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#### Training Hyperparameters

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Model Card Contact

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# [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_FelixChao__vicuna-33b-coder)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 50.08   |
| ARC (25-shot)         | 60.41          |
| HellaSwag (10-shot)   | 83.27    |
| MMLU (5-shot)         | 57.17         |
| TruthfulQA (0-shot)   | 51.79   |
| Winogrande (5-shot)   | 76.87   |
| GSM8K (5-shot)        | 12.89        |
| DROP (3-shot)         | 8.16         |