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OpenCoder-llm

OpenCoder-llm/OpenCoder-llm

The Open Cookbook for Top-Tier Code Large Language Models

GitHub Website

GraphCanon updated 2w · GitHub synced 2w

2.1k stars125 forksLast push 1y Python MIT

Decision brief

OpenCoder-llm offers comprehensive resources for generating high-quality code through its large language models, including datasets, evaluation frameworks, and data pipelines.

Good fit when

  • When you need access to both English and Chinese language support in your code generation tasks.
  • If you require a reproducible framework that provides intermediate checkpoints such as the OpenCoder-1.5B-Base-Checkpoints and OpenCoder-8B-Base-Checkpoints for model development.

Avoid when

  • If your primary focus is on natural language processing tasks that do not involve code generation or require languages other than English or Chinese.
  • For scenarios where the availability of intermediate checkpoints during pretraining stages does not add value to your development process.

Observed Jul 16, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (604d since push)
As of 2w
Provenance
Not a fork · Personal account
As of 2w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install OpenCoder-llm
PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

OpenCoder is an open-source project focusing on large language models designed to generate high-quality code. It includes various resources such as datasets, evaluation frameworks, and data pipelines.

Capability facts

Languages
python

Source: github.language · Aug 5, 2026

Categories

Data & RetrievalEvaluation & ObservabilityLLM FrameworksModel Training

Tags

code generationdata filteringdatasetevaluation-frameworklarge language models

README

OpenCoder-Icon 

    OpenCoder
</h1>
 <p align="center">⚡ The Open Cookbook for Top-Tier Code Large Language Models ⚡</p>

🏠Home Page   |   🤗Model   |   📊Dataset   |   📄Paper  ｜ 🚀Demo  

News

Releases

  • Data cleaning pipeline
  • RefineCode: Code-related web data
  • RefineCode: Metadata of raw code data
  • Intermedidate Checkpoints
  • CodeLLM evaluation framework: OpenCodeEval
  • High-quality annealing data
  • Post-training data
  • Final model weights
  • Paper

We are working hard to release all those resources! 💪

Introduction

OpenCoder is an open and reproducible code LLM family which includes 1.5B and 8B base and chat models, supporting both English and Chinese languages. Starting from scratch, OpenCoder is pretrained on 2.5 trillion tokens composed of 90% raw code and 10% code-related web data, and supervised finetuned on over 4.5M high-quality SFT examples, finally reaching the performance of top-tier code LLMs. We provide not only model weights and inference code, but also the reproducible training data, the complete data processing pipeline, rigorous experimental ablation results, and detailed training protocols. Empowering researchers to build and innovate, OpenCoder is your open fo

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This page has a .md twin and JSON over the API.

/tools/opencoder-llm-opencoder-llm.mdGET /api/graphcanon/tools/opencoder-llm-opencoder-llmGET /api/graphcanon/graph?tool=opencoder-llm-opencoder-llm

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