---
datasets:
- theblackcat102/evol-codealpaca-v1
language:
- en
pipeline_tag: text-generation
---

# SparseLlama-2-7b-evolcodealpaca-pruned_50.2of4

## Model Overview
- **Model Architecture:** Llama-2
  - **Input:** Text
  - **Output:** Text
- **Model Optimizations:**
  - **Pruned:** 50% 2:4
- **Release Date:** 7/2/2024
- **Version:** 1.0
- **Model Developers:** Neural Magic

Compressed version of [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf) specialized for code-generation.
This model was obtained by fine-tuning the Sparse Foundational model [SparseLlama-2-7b-pruned_50.2of4](https://huggingface.co/nm-testing/SparseLlama-2-7b-pruned_50.2of4) on the [evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) dataset.
[SquareHead](https://arxiv.org/abs/2310.06927) knowledge distillation was used with [Llama-2-7b-evolcodealpaca](https://huggingface.co/neuralmagic/Llama-2-7b-evolcodealpaca) as teacher.
It achieves [HumanEval](https://arxiv.org/abs/2107.03374) pass@1 of 34.58%, whereas the dense [Llama-2-7b-evolcodealpaca](https://huggingface.co/neuralmagic/Llama-2-7b-evolcodealpaca) model achieves 32.03%.

This model was produced as part if Neural Magic's Sparse Foundational Models initiative, and demostrates the capability of Sparse Foundational Models to transfer to the code-generation domain.

## Model Optimizations

This model is derived from the Sparse Foundational model [Sparse-Llama-2-7b-pruned_50.2of4](https://huggingface.co/nm-testing/SparseLlama-2-7b-pruned_50.2of4), which was obtained by applying the [SparseGPT](https://arxiv.org/abs/2301.00774) algorithm to prune [Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b-hf) to 50% sparsity with a 2:4 mask.
This optimization reduces the number of parameters by 50%, reducing the disk size and FLOPs by the same level.

## Evaluation

This model was evaluated in the [HumanEval](https://arxiv.org/abs/2107.03374) benchmark using the [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness).

## Accuracy

| Model | HumanEval pass@1 | Recovery |
| :----- | :--------: | :--------: |
| [Llama-2-7b-evolcodealpaca](https://huggingface.co/neuralmagic/Llama-2-7b-evolcodealpaca) | 32.03% | -- |
| SparseLlama-2-7b-evolcodealpaca-pruned_50.2of4 | 34.58% | 108% |