LLM Providers

llama-node

Node.js Library for Large Language Model LLaMA/RWKV

Status
UnmaintainedGitHub repository has been archived.
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0

What it is

A Node.js library that enables developers to integrate and run large language models like LLaMA and RWKV in their applications, providing powerful natural language processing capabilities.

llama-node stands out by offering an open-source library that allows developers to integrate and run powerful NLP models like LLaMA and RWKV directly within their Node.js applications, providing flexibility for local processing needs.

When it fits — and when it doesn’t

A good fit for

  • Node.js developers who want to integrate large language models into their applications without relying on cloud services.

  • Projects that require local processing of sensitive data and cannot use cloud-based NLP solutions.

Look elsewhere if

  • Developers looking for a managed service solution, as llama-node requires self-hosting.

  • Teams with limited computational resources to run large language models locally.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited performance optimizations for large models

    Running LLaMA and RWKV models can be resource-intensive, leading to slow inference times without proper hardware acceleration.

  2. 02

    Small community and limited third-party integrations

    GitHub repository has few contributors and open issues/questions go unanswered frequently.

What it does well

  • Supports LLaMA and RWKV models for natural language processing tasks.

  • Integrates seamlessly with Node.js applications.

  • Open-source under the Apache-2.0 license.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up llama-node

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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