Home/Compare/ell vs exllama

Comparison

ell vs exllama

Verdict

Pick ell if ell is a Python-based language model development library and prompt engineering tool; pick exllama if exLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards.

Markdown twin · ell alternatives · exllama alternatives

GraphCanon updated 2w

ell logo

ell

MadcowD/ell

5.9kpushed Jun 5, 2025
vs
exllama logo

exllama

turboderp/exllama

2.9kpushed Sep 30, 2023

Trust & integrity

Signalellexllama
Maintenance
Dormant (417d since push)
As of 3w · github_public_v1
Dormant (1041d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

ell
A language model programming library
exllama
Memory-efficient rewrite of HF transformers for Llama with quantized weights

Stars

ell
5.9k
exllama
2.9k

Forks

ell
343
exllama
220

Open issues

ell
186
exllama
65

Language

ell
Python
exllama
Python

Adopt for

ell
ell is a Python-based language model development library and prompt engineering tool.
exllama
ExLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards.

Persona

ell
-
exllama
-

Runtime

ell
-
exllama
-

License

ell
MIT - Permissive free software license
exllama
MIT

Last pushed

ell
Jun 5, 2025
exllama
Sep 30, 2023

Categories

ell
LLM Frameworks
exllama
Inference & Serving, LLM Frameworks

Trust and health

Days since push

ell
417d
exllama
1041d

Open issues (now)

ell
186
exllama
65

OSV dependency advisories

ell
No lockfile (source not queried)
exllama
Published findings

Full report

Choose ell if…

  • Pricing: Free to use under MIT License, with no premium plans mentioned..
  • Tags unique to ell: ai, prompt-engineering.
  • When you require a dedicated Python framework for developing custom language models and fine-tuning them with specific prompts for your application.

When NOT to use ell

  • If you prefer JavaScript or other languages over Python, consider alternative frameworks that support the language of your choice.

Choose exllama if…

  • Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu.
  • Also covers Inference & Serving.
  • exllama ships Docker support for self-hosted deployment.
  • - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support.

When NOT to use exllama

  • - If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better.
  • - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts).

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ell 5.9k · exllama 2.9k (synced Jul 28, 2026).

Common questions

What is the difference between ell and exllama?
ell: A language model programming library. exllama: Memory-efficient rewrite of HF transformers for Llama with quantized weights. See the comparison table for live GitHub stats and shared categories.
When should I choose ell over exllama?
Choose ell over exllama when Pricing: Free to use under MIT License, with no premium plans mentioned.; Tags unique to ell: ai, prompt-engineering; When you require a dedicated Python framework for developing custom language models and fine-tuning them with specific prompts for your application.
When should I choose exllama over ell?
Choose exllama over ell when Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu; Also covers Inference & Serving; exllama ships Docker support for self-hosted deployment; - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support.
When should I avoid ell?
If you prefer JavaScript or other languages over Python, consider alternative frameworks that support the language of your choice.
When should I avoid exllama?
- If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better. - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts).
Is ell or exllama more popular on GitHub?
ell has more GitHub stars (5,869 vs 2,937). Stars measure visibility, not whether either tool fits your constraints.
Are ell and exllama open source?
Yes - both are open-source projects on GitHub (ell: MIT, exllama: MIT).
Where can I find alternatives to ell or exllama?
GraphCanon lists graph-backed alternatives at ell alternatives and exllama alternatives (ell markdown twin, exllama markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, ell or exllama?
ell: Dormant. exllama: 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 ell and exllama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ell trust report; exllama trust report.

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