Models and checkpoints

Llama-3-8B-Web

A Llama 3 8B instruction-model checkpoint fine-tuned on WebLINX web interactions and dialogue, predicting browser actions from a textual state representation.

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

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What is this resource?

Resource type
Models and checkpoints
Environment
web
Topics
web-navigation, imitation-learning, action-prediction
Record publication date
Not recorded
Evidence retrieved
2026-10-17T12:34:10Z
Resource ID
url:7c3e8c4ba52428584079

What licenses are recorded?

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

Code
Not recorded
Data
Not recorded
Document
Not recorded
Weights
Meta Llama 3 Community License Agreement (Weight license text and card declaration are retained separately from framework code licensing.)

License review notes

Recorded specifications

architecture
LlamaForCausalLM
availability
Ungated complete weight/config/tokenizer manifest.
parameter label
8B
release revision
09856c28ec324cf3fe4c513bdc4437a75b78185f
training data note
Publisher describes a 24K curated subset of WebLINX interactions and dialogue; not a newly counted independent dataset.

Explore related topics

Web navigationImitation learningAction prediction

Scope and limitations

The ungated Hub manifest includes model.safetensors, pytorch_model.bin, config and tokenizer files; the two weight formats represent the same checkpoint and are not counted separately. The card describes an approximately 24K-example curated WebLINX training subset and evaluates dialogue-guided web navigation. Predictions still require parsing and execution in an external browser environment. The retained weight license is the Meta Llama 3 Community License Agreement, not WebLlama code MIT. No weights were downloaded, model used, or agreement accepted.

Related resources

Primary evidence and verification

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  1. editorial primary review

    Retrieved 2026-10-17T12:34:10Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, licenses.weights.

    Content fingerprint1a445c7894c65c9a7c4247dba446c206c13ac2ecdc129ce93a0de943f2984a18
  2. editorial primary review

    Retrieved 2026-10-17T12:34:10Z. Supports: identity, release_status, details.release_revision, details.architecture.

    Content fingerprint69fe17825db0d5f32ccaa84b67fabfa10018e1410da0c70ec0ea9509703feba2
  3. editorial primary review

    Retrieved 2026-10-17T12:36:55Z. Supports: licenses.weights.

    Content fingerprint6bcca341999ab474e2973116128177b77f97cd64028eeace224035358ce6474f

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