Home/Compare/wllama vs exllama

Comparison

wllama vs exllama

Verdict

Pick wllama if webAssembly bindings for browser-based inference of llama.cpp; 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 · wllama alternatives · exllama alternatives

GraphCanon updated 2w

wllama logo

wllama

ngxson/wllama

1.2kpushed Jun 17, 2026
vs
exllama logo

exllama

turboderp/exllama

2.9kpushed Sep 30, 2023

Trust & integrity

Signalwllamaexllama
Maintenance
Steady (51d since push)
As of 2w · github_public_v1
Dormant (1041d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
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

wllama
WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
exllama
Memory-efficient rewrite of HF transformers for Llama with quantized weights

Stars

wllama
1.2k
exllama
2.9k

Forks

wllama
117
exllama
220

Open issues

wllama
53
exllama
65

Language

wllama
TypeScript
exllama
Python

Adopt for

wllama
WebAssembly bindings for browser-based inference of llama.cpp.
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

wllama
-
exllama
-

Runtime

wllama
-
exllama
-

License

wllama
MIT
exllama
MIT

Last pushed

wllama
Jun 17, 2026
exllama
Sep 30, 2023

Categories

wllama
Inference & Serving
exllama
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

wllama
Steady (60%)
exllama
Dormant (18%)

Days since push

wllama
51d
exllama
1041d

Open issues (now)

wllama
53
exllama
65

Full report

Choose wllama if…

  • wllama is primarily TypeScript; exllama is Python.
  • Tags unique to wllama: llama, llamacpp, llm, wasm.
  • Need browser-based LLM inference directly through WebAssembly.

When NOT to use wllama

  • Require direct native execution speed benefits unavailable in a WebAssembly context.
  • Developing server-side applications without the need for client-side inference capabilities.

Choose exllama if…

  • exllama is primarily Python; wllama is TypeScript.
  • Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu.
  • Also covers LLM Frameworks.
  • 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: wllama 1.2k · exllama 2.9k (synced Aug 7, 2026).

Common questions

What is the difference between wllama and exllama?
wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. 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 wllama over exllama?
Choose wllama over exllama when wllama is primarily TypeScript; exllama is Python; Tags unique to wllama: llama, llamacpp, llm, wasm; Need browser-based LLM inference directly through WebAssembly.
When should I choose exllama over wllama?
Choose exllama over wllama when exllama is primarily Python; wllama is TypeScript; Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu; Also covers LLM Frameworks; 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 wllama?
Require direct native execution speed benefits unavailable in a WebAssembly context. Developing server-side applications without the need for client-side inference capabilities.
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 wllama or exllama more popular on GitHub?
exllama has more GitHub stars (2,937 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
Are wllama and exllama open source?
Yes - both are open-source projects on GitHub (wllama: MIT, exllama: MIT).
Where can I find alternatives to wllama or exllama?
GraphCanon lists graph-backed alternatives at wllama alternatives and exllama alternatives (wllama 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, wllama or exllama?
wllama: Steady. 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 wllama and exllama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: wllama trust report; exllama trust report.

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