---
title: "LLMs-from-scratch vs TencentPretrain"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/rasbt-llms-from-scratch-vs-tencent-tencentpretrain"
tools: ["rasbt-llms-from-scratch", "tencent-tencentpretrain"]
---

# LLMs-from-scratch vs TencentPretrain

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick LLMs-from-scratch if lLMs-from-scratch is a project-oriented repository aimed at building PyTorch-based language models from the ground up, with detailed step-by-step instructions; pick TencentPretrain if tencentPretrain is a PyTorch-based framework for pre-training models and includes a model zoo with multiple architectures.

[LLMs-from-scratch](https://amzn.to/4fqvn0D) reports 99k GitHub stars, 15k forks, and 4 open issues, last pushed Jun 2, 2026. [TencentPretrain](https://github.com/Tencent/TencentPretrain/wiki) has 1.1k stars, 147 forks, and 44 open issues, last pushed Aug 4, 2024. Figures are from public GitHub metadata via [LLMs-from-scratch's repository](https://github.com/rasbt/LLMs-from-scratch) and [TencentPretrain's repository](https://github.com/Tencent/TencentPretrain).

| | [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) | [TencentPretrain](/tools/tencent-tencentpretrain.md) |
| --- | --- | --- |
| Tagline | Implement a ChatGPT-like LLM in PyTorch from scratch, step by step | Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo |
| Stars | 98,899 | 1,089 |
| Forks | 15,183 | 147 |
| Open issues | 4 | 44 |
| Language | Jupyter Notebook | Python |
| Adopt for | LLMs-from-scratch is a project-oriented repository aimed at building PyTorch-based language models from the ground up, with detailed step-by-step instructions. | TencentPretrain is a PyTorch-based framework for pre-training models and includes a model zoo with multiple architectures. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | Other |
| Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) | [TencentPretrain](/tools/tencent-tencentpretrain.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Dormant (18%) |
| Days since push | 38d | 705d |
| Open issues (now) | 4 | 44 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/rasbt-llms-from-scratch/trust.md) | [trust report](/tools/tencent-tencentpretrain/trust.md) |

## Decision facts: LLMs-from-scratch

- **Adopt for:** LLMs-from-scratch is a project-oriented repository aimed at building PyTorch-based language models from the ground up, with detailed step-by-step instructions.

## Decision facts: TencentPretrain

- **Pricing:** unknown - The pricing details are not explicitly mentioned in the provided repository content.
- **Adopt for:** TencentPretrain is a PyTorch-based framework for pre-training models and includes a model zoo with multiple architectures.

## Choose when

### Choose LLMs-from-scratch if…

- LLMs-from-scratch is primarily Jupyter Notebook; TencentPretrain is Python.
- Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention mechanism, deep-learning.
- - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework.

### Choose TencentPretrain if…

- TencentPretrain is primarily Python; LLMs-from-scratch is Jupyter Notebook.
- Pricing: The pricing details are not explicitly mentioned in the provided repository content..
- Tags unique to TencentPretrain: albert, bart, bert, chinese.
- TencentPretrain is a PyTorch-based framework for pre-training models and includes a model zoo with multiple architectures.

## When NOT to use LLMs-from-scratch

- - If you are looking for a rapid deployment of an LLM without understanding its intricate structure - this tool requires extensive manual and conceptual work.
- - You prefer frameworks with automatic model generation or other high-level abstractions that simplify the process. This repository emphasizes manual creation, which is more time-consuming but offers丰
- a deeper learning experience.

## When NOT to use TencentPretrain

- Last GitHub push was 707 days ago (dormant maintenance, Aug 4, 2024). Validate activity before betting a new project on TencentPretrain.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## Common questions

### What is the difference between LLMs-from-scratch and TencentPretrain?

LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. TencentPretrain: Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo. See the comparison table for live GitHub stats and shared categories.

### When should I choose LLMs-from-scratch over TencentPretrain?

Choose LLMs-from-scratch over TencentPretrain when LLMs-from-scratch is primarily Jupyter Notebook; TencentPretrain is Python; Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention mechanism, deep-learning; - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework.

### When should I choose TencentPretrain over LLMs-from-scratch?

Choose TencentPretrain over LLMs-from-scratch when TencentPretrain is primarily Python; LLMs-from-scratch is Jupyter Notebook; Pricing: The pricing details are not explicitly mentioned in the provided repository content.; Tags unique to TencentPretrain: albert, bart, bert, chinese; TencentPretrain is a PyTorch-based framework for pre-training models and includes a model zoo with multiple architectures.

### When should I avoid LLMs-from-scratch?

- If you are looking for a rapid deployment of an LLM without understanding its intricate structure - this tool requires extensive manual and conceptual work. - You prefer frameworks with automatic model generation or other high-level abstractions that simplify the process. This repository emphasizes manual creation, which is more time-consuming but offers丰 a deeper learning experience.

### When should I avoid TencentPretrain?

Last GitHub push was 707 days ago (dormant maintenance, Aug 4, 2024). Validate activity before betting a new project on TencentPretrain. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is LLMs-from-scratch or TencentPretrain more popular on GitHub?

LLMs-from-scratch has more GitHub stars (98,899 vs 1,089). Stars measure visibility, not whether either tool fits your constraints.

### Are LLMs-from-scratch and TencentPretrain open source?

Yes - both are open-source projects on GitHub (LLMs-from-scratch: Other, TencentPretrain: Other).

### Where can I find alternatives to LLMs-from-scratch or TencentPretrain?

GraphCanon lists graph-backed alternatives at [LLMs-from-scratch alternatives](/tools/rasbt-llms-from-scratch/alternatives) and [TencentPretrain alternatives](/tools/tencent-tencentpretrain/alternatives) ([LLMs-from-scratch markdown twin](/tools/rasbt-llms-from-scratch/alternatives.md), [TencentPretrain markdown twin](/tools/tencent-tencentpretrain/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/rasbt-llms-from-scratch-vs-tencent-tencentpretrain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, LLMs-from-scratch or TencentPretrain?

LLMs-from-scratch: Steady. TencentPretrain: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for LLMs-from-scratch and TencentPretrain?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLMs-from-scratch trust report](/tools/rasbt-llms-from-scratch/trust); [TencentPretrain trust report](/tools/tencent-tencentpretrain/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=rasbt-llms-from-scratch`](/api/graphcanon/graph?tool=rasbt-llms-from-scratch)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
