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
Trust & integrity
| Signal | wllama | exllama |
|---|---|---|
| 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
- wllama
- Trust report
- exllama
- Trust 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 (ngxson/wllama) · observed Aug 7, 2026
- GitHub forks (ngxson/wllama) · observed Aug 7, 2026
- Last push (ngxson/wllama) · observed Jun 17, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (turboderp/exllama) · observed Aug 7, 2026
- GitHub forks (turboderp/exllama) · observed Aug 7, 2026
- Last push (turboderp/exllama) · observed Sep 30, 2023
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.