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Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

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Python Apache-2.0Created Apr 15, 2023

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Overview

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 11, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 11, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

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Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

# Or `pip install "evalplus[vllm]" --upgrade` for the latest stable release
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README

Or pip install "evalplus[vllm]" --upgrade for the latest stable release

evalplus.evaluate --model "ise-uiuc/Magicoder-S-DS-6.7B"
--dataset [humaneval|mbpp]
--backend vllm
--greedy


<details><summary>🛡️ Safe code execution within Docker <i>:: click to expand ::</i></summary>
<div>

```bash

---

# Code execution within Docker
docker run --rm --pull=always -v $(pwd)/evalplus_results:/app ganler/evalplus:latest \
           evalplus.evaluate --dataset humaneval                                     \
           --samples /app/humaneval/ise-uiuc--Magicoder-S-DS-6.7B_vllm_temp_0.0.jsonl

Or pip install "evalplus[perf,vllm]" --upgrade for the latest stable release

sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' # Enable perf evalplus.evalperf --model "ise-uiuc/Magicoder-S-DS-6.7B" --backend vllm


<details><summary>🛡️ Safe code execution within Docker <i>:: click to expand ::</i></summary>
<div>

```bash

---

# Code execution within Docker
sudo sh -c 'echo 0 > /proc/sys/kernel/perf_event_paranoid' # Enable perf
docker run --cap-add PERFMON --rm --pull=always -v $(pwd)/evalplus_results:/app ganler/evalplus:latest \
           evalplus.evalperf --samples /app/evalperf/ise-uiuc--Magicoder-S-DS-6.7B_vllm_temp_1.0.jsonl

Install Flash Attention 2

pip install packaging ninja pip install flash-attn --no-build-isolation


Note: if you have installation problem, consider using pre-built