---
title: "colab-llm vs llama2-webui"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/enescingoz-colab-llm-vs-liltom-eth-llama2-webui"
tools: ["enescingoz-colab-llm", "liltom-eth-llama2-webui"]
---

# colab-llm vs llama2-webui

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick colab-llm if provides a simple way to run local LLM models in Google Colab with remote access via Cloudflare tunnel without setting up cloud servers; pick llama2-webui if llama2-webui - Run Llama 2 models locally via Gradio UI on GPU or CPU.

[colab-llm](https://github.com/enescingoz/colab-llm) reports 141 GitHub stars, 39 forks, and 3 open issues, last pushed Apr 14, 2025. [llama2-webui](https://github.com/liltom-eth/llama2-webui) has 1.9k stars, 198 forks, and 26 open issues, last pushed Mar 22, 2024. Figures are from public GitHub metadata via [colab-llm's repository](https://github.com/enescingoz/colab-llm) and [llama2-webui's repository](https://github.com/liltom-eth/llama2-webui).

| | [colab-llm](/tools/enescingoz-colab-llm.md) | [llama2-webui](/tools/liltom-eth-llama2-webui.md) |
| --- | --- | --- |
| Tagline | Google Colab notebook for running local LLM models via Ollama with remote access through Cloudflare tunnel | Run Llama 2 locally with gradio UI on GPU or CPU |
| Stars | 141 | 1,936 |
| Forks | 39 | 198 |
| Open issues | 3 | 26 |
| Language | Jupyter Notebook | Jupyter Notebook |
| Adopt for | Provides a simple way to run local LLM models in Google Colab with remote access via Cloudflare tunnel without setting up cloud servers. | llama2-webui - Run Llama 2 models locally via Gradio UI on GPU or CPU. |
| Persona | - | - |
| Runtime | - | - |
| License | - | The MIT License grants permissive software rights making llama2-webui suitable for both proprietary and open-source projects. |
| Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [colab-llm](/tools/enescingoz-colab-llm.md) | [llama2-webui](/tools/liltom-eth-llama2-webui.md) |
| --- | --- | --- |
| Days since push | 523d | 911d |
| Open issues (now) | 3 | 26 |
| Stars delta | +9 (30d) | -1 (30d) |
| Full report | [trust report](/tools/enescingoz-colab-llm/trust.md) | [trust report](/tools/liltom-eth-llama2-webui/trust.md) |

## Decision facts: colab-llm

- **Requirements:** The user must have a Google Colab account.; A GPU runtime from Google Colab, preferably T4 High-RAM or better, is required.; No cloud account is needed because the setup uses Cloudflare tunneling in a way that bypasses traditional server provisioning.
- **Adopt for:** Provides a simple way to run local LLM models in Google Colab with remote access via Cloudflare tunnel without setting up cloud servers.

## Decision facts: llama2-webui

- **Requirements:** - Ensure you have access to Llama 2 models before proceeding.; - Requires a Python environment capable of running Jupyter Notebooks along with the specified dependencies such as Gradio.
- **Adopt for:** llama2-webui - Run Llama 2 models locally via Gradio UI on GPU or CPU.
- **License detail:** The MIT License grants permissive software rights making llama2-webui suitable for both proprietary and open-source projects.

## Choose when

### Choose colab-llm if…

- Requirements: The user must have a Google Colab account.; A GPU runtime from Google Colab, preferably T4 High-RAM or better, is required.; No cloud account is needed because the setup uses Cloudflare tunneling in a way that bypasses traditional server provisioning..
- Tags unique to colab-llm: cloudflare-tunnel, colab, local-llm, ollama.
- When you need quick and secure remote access to your locally hosted large language model using only a Google Colab account.

### Choose llama2-webui if…

- Requirements: - Ensure you have access to Llama 2 models before proceeding.; - Requires a Python environment capable of running Jupyter Notebooks along with the specified dependencies such as Gradio..
- Tags unique to llama2-webui: gradio, llama-2, local-inference.
- - When you want to run Llama 2 models locally with minimal setup across various operating systems like Linux, Windows, and Mac.

## When NOT to use colab-llm

- If you require full customization beyond what is available in a Colab environment, since this solution relies heavily on Colab's pre-defined settings and limits.
- When dealing with sensitive data that cannot be transmitted through third-party tunnels due to the use of Cloudflare for secure access.

## When NOT to use llama2-webui

- - Avoid if you are looking for broader support beyond Llama 2 models; this tool is specifically tailored to work with the Llama 2 series.
- - Not recommended if your project strictly requires a web-based deployment without a local server component, as it emphasizes local model inference.

## Common questions

### What is the difference between colab-llm and llama2-webui?

colab-llm: Google Colab notebook for running local LLM models via Ollama with remote access through Cloudflare tunnel. llama2-webui: Run Llama 2 locally with gradio UI on GPU or CPU. See the comparison table for live GitHub stats and shared categories.

### When should I choose colab-llm over llama2-webui?

Choose colab-llm over llama2-webui when Requirements: The user must have a Google Colab account.; A GPU runtime from Google Colab, preferably T4 High-RAM or better, is required.; No cloud account is needed because the setup uses Cloudflare tunneling in a way that bypasses traditional server provisioning.; Tags unique to colab-llm: cloudflare-tunnel, colab, local-llm, ollama; When you need quick and secure remote access to your locally hosted large language model using only a Google Colab account.

### When should I choose llama2-webui over colab-llm?

Choose llama2-webui over colab-llm when Requirements: - Ensure you have access to Llama 2 models before proceeding.; - Requires a Python environment capable of running Jupyter Notebooks along with the specified dependencies such as Gradio.; Tags unique to llama2-webui: gradio, llama-2, local-inference; - When you want to run Llama 2 models locally with minimal setup across various operating systems like Linux, Windows, and Mac.

### When should I avoid colab-llm?

If you require full customization beyond what is available in a Colab environment, since this solution relies heavily on Colab's pre-defined settings and limits. When dealing with sensitive data that cannot be transmitted through third-party tunnels due to the use of Cloudflare for secure access.

### When should I avoid llama2-webui?

- Avoid if you are looking for broader support beyond Llama 2 models; this tool is specifically tailored to work with the Llama 2 series. - Not recommended if your project strictly requires a web-based deployment without a local server component, as it emphasizes local model inference.

### Is colab-llm or llama2-webui more popular on GitHub?

llama2-webui has more GitHub stars (1,936 vs 141). Stars measure visibility, not whether either tool fits your constraints.

### Are colab-llm and llama2-webui open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to colab-llm or llama2-webui?

GraphCanon lists graph-backed alternatives at [colab-llm alternatives](/tools/enescingoz-colab-llm/alternatives) and [llama2-webui alternatives](/tools/liltom-eth-llama2-webui/alternatives) ([colab-llm markdown twin](/tools/enescingoz-colab-llm/alternatives.md), [llama2-webui markdown twin](/tools/liltom-eth-llama2-webui/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/enescingoz-colab-llm-vs-liltom-eth-llama2-webui.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, colab-llm or llama2-webui?

colab-llm: Dormant. llama2-webui: 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 colab-llm and llama2-webui?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [colab-llm trust report](/tools/enescingoz-colab-llm/trust); [llama2-webui trust report](/tools/liltom-eth-llama2-webui/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=enescingoz-colab-llm`](/api/graphcanon/graph?tool=enescingoz-colab-llm)
- 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/_
