WebLlama

Training, evaluation and integration tooling for dialogue-guided web agents, including Llama fine-tuning workflows and BrowserGym examples built around WebLINX.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

What is this resource?

Resource type

Frameworks

Environment

web

Topics

web-navigation, imitation-learning, evaluation, tool-integration

Record publication date

Not recorded

Evidence retrieved

2026-10-17T12:30:55Z

Resource ID

github:mcgill-nlp/webllama

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code

MIT (README explicitly scopes MIT to code unless a file header states otherwise; models/data/images retain original licenses.)

Data

Not recorded

Document

Not recorded

Weights

Not recorded

License review notes

• Code: README explicitly scopes MIT to code unless a file header states otherwise; models/data/images retain original licenses. Source 1 Source 2

Recorded specifications

availability

Public fine-tuning/evaluation tooling, examples and results viewer.

repository revision

1b7b41327b2222312e07818ce239c04307beaf9b

Explore related topics

Scope and limitations

The manifest contains modeling/training code, BrowserGym examples, documentation and a results viewer. The README distinguishes currently available components from planned additional benchmarks and deployment integrations. It requests citation of WebLINX as the foundation for data, training and evaluation; this is not a claim that the WebLINX paper first introduced every later WebLlama component. MIT applies to repository code, subject to file-header exceptions; weights and datasets have their own terms.

Related resources

• documented by: WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

1. editorial primary review

   Retrieved 2026-10-17T12:30:55Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, licenses.code.

   Content fingerprint

   121546c7a73f4d7604ae5340bd78856e8170dc8aaa8e57f7e62efcfb85d8d4c9
2. editorial primary review

   Retrieved 2026-10-17T12:30:55Z. Supports: identity.

   Content fingerprint

   6605b7b09e8be77cce9d5bfd1a6199c2256cbfc1f067b93b2b952c1d19e74f10
3. editorial primary review

   Retrieved 2026-10-17T12:32:06Z. Supports: release_status, details.repository_revision.

   Content fingerprint

   915620d7a155f5c5fe099cdb0461d9614e1894b38559f0d2f9a6a138afe06212
4. editorial primary review

   Retrieved 2026-10-17T12:34:10Z. Supports: licenses.code.

   Content fingerprint

   e69268828e67ffd1d3393a2d3530f97df6deaa0b961039fc971abea28cec8715

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