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LLM models · Model

Llama 3.1 8B Instruct

Researched

Llama-3.1-8B-Instruct is an 8B-parameter open-source text generation model from Meta, hosted on Hugging Face with a December 2023 knowledge cutoff and JSON-based function calling support.

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Official site snapshots

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Read-only public captures of Llama 3.1 8B Instruct’s homepage. Screenshots are dated, never live embeds, and open full-screen.

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Homepage · captured Jul 23, 2026
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At a glance

In one minute

Start here for the decision-making essentials: what Llama 3.1 8B Instruct does, who it is for, how it is accessed, and the first-party sources behind this profile.

PricingCurrent signal

Dedicated Pricing and Billing documentation is provided

Platforms
Hugging FaceHugging Face Inference ProvidersHugging Face ModelsPyTorch
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary

Best suited to

Source-backed fit
Developers building chat and instruction-following applications Teams needing an open-source LLM with function calling capabilities Enterprises requiring SSO, audit logs, and granular access control Projects needing flexible deployment via multiple inference providers Developers
Model registry

Specifications and best fit

Source backed

Published specifications and use cases for Llama 3.1 8B Instruct. Repository dates are kept separate from the model's original release date.

Developer
meta-llama
Family
Llama 3.1
Original release
Updated Sep 25, 2024
Repository created
2024-07-18
Parameters
8B
Context window
Not stated
Architecture
Not stated
License
llama3.1
Weights
Not stated
Modalities
Text Generation
Languages
Not stated
Repository
meta-llama/Llama-3.1-8B-Instruct

Good fit for

  • Content Generation
  • Long-Document Analysis
  • Audio Transcription
  • Semantic Search
  • Data Translation
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Llama 3.1 8B Instruct. Each answer cites the shared ledger below, where every source is listed once.

01What does Llama 3.1 8B Instruct say it can do?

Chat Completion inference task · Feature Extraction inference task · Text to Image inference task · Text to Video inference task

Inference Tasks Chat Completion Feature Extraction Text to Image Text to Video
Ledger citations[1] huggingface.co/docs/inference-providers/index[6] huggingface.co/models[7] huggingface.co/models
02Who is Llama 3.1 8B Instruct intended for?

Developers

Hugging Face's Inference Providers give developers access to hundreds of machine learning models
Ledger citation[1] huggingface.co/docs/inference-providers/index
03What use cases does Llama 3.1 8B Instruct describe?

Content Generation · Long-Document Analysis · Audio Transcription · Semantic Search

Content Generation
Ledger citation[2] huggingface.co/support
04What pricing information is available for Llama 3.1 8B Instruct?

Dedicated Pricing and Billing documentation is provided

Pricing and Billing Hub integration Security Guides
Ledger citation[1] huggingface.co/docs/inference-providers/index
05Does Llama 3.1 8B Instruct document API access?

Single, consistent API across inference providers

giving you access to their specialized capabilities through a single, consistent API
Ledger citation[1] huggingface.co/docs/inference-providers/index
06What integrations does Llama 3.1 8B Instruct document?

JavaScript and Python client SDKs · Coding agent integrations: OpenCode, Pi, Codex, Claude Code, Hermes Agent · Available via inference providers including Groq, Novita, Cerebras, Nscale, fal-ai, Togeth · Usable with apps including llama.cpp, LM Studio, Jan, Draw Things, DiffusionBee, JoyFusion

They are also integrated into our client SDKs (for JS and Python)
Ledger citations[1] huggingface.co/docs/inference-providers/index[4] huggingface.co/models
Decision guide

Capabilities and operating fit

LLM models

This profile connects the jobs Llama 3.1 8B Instruct is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Content Generation
  • Long-Document Analysis
  • Audio Transcription
  • Semantic Search
  • Data Translation

Intended audiences

Developers

Access signals

Pricing model
Dedicated Pricing and Billing documentation is provided
API
Not publicly listed
Source links
16 recorded
Source-backed

Verified facts

Updated July 22, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
First-party description

meta-llama/Llama-3.1-8B-Instruct · Hugging Face

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
Source-supported facts

Model name is Llama-3.1-8B-Instruct · Published by meta-llama on Hugging Face · 8B parameter count

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
Model

Llama-3.1-8B-Instruct

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
Company

meta-llama

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
Platform

Hugging Face

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
Knowledge cutoff

December 2023

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
Tool use

Supports function calling via JSON-formatted tool definitions

[3]huggingface.co/meta-llama/Llama-3.1-8B-Instruct
View 32 more verified facts
Support

Priority enterprise support with dedicated Hugging Face experts

[2]huggingface.co/support
Security

Single Sign-On (SSO) integration with an identity provider

[2]huggingface.co/support
Security

Audit logs reporting on actions taken on the Hub

[2]huggingface.co/support
Security

Resource Groups providing granular access control to repositories

[2]huggingface.co/support
Deployment

Selectable regions for storing and auditing repository data

[2]huggingface.co/support
Open source

Yes — open-source models are available from the Hub

[2]huggingface.co/support
Use case

Content Generation

[2]huggingface.co/support
Use case

Long-Document Analysis

[2]huggingface.co/support
Use case

Audio Transcription

[2]huggingface.co/support
Use case

Semantic Search

[2]huggingface.co/support
Use case

Data Translation

[2]huggingface.co/support
Platform

Hugging Face Inference Providers

[1]huggingface.co/docs/inference-providers/index
Audience

Developers

[1]huggingface.co/docs/inference-providers/index
Deployment

Serverless inference

[1]huggingface.co/docs/inference-providers/index
Integration

JavaScript and Python client SDKs

[1]huggingface.co/docs/inference-providers/index
Api

Single, consistent API across inference providers

[1]huggingface.co/docs/inference-providers/index
Capability

Chat Completion inference task

[1]huggingface.co/docs/inference-providers/index
Capability

Feature Extraction inference task

[1]huggingface.co/docs/inference-providers/index
Capability

Text to Image inference task

[1]huggingface.co/docs/inference-providers/index
Capability

Text to Video inference task

[1]huggingface.co/docs/inference-providers/index
Capability

Speech to text task

[1]huggingface.co/docs/inference-providers/index
Integration

Coding agent integrations: OpenCode, Pi, Codex, Claude Code, Hermes Agent

[1]huggingface.co/docs/inference-providers/index
Pricing

Dedicated Pricing and Billing documentation is provided

[1]huggingface.co/docs/inference-providers/index
Model

meta-llama/Llama-3.1-8B-Instruct

[6]huggingface.co/models
Capability

Text Generation

[6]huggingface.co/models
Parameter count

8B

[6]huggingface.co/models
Company

meta-llama

[6]huggingface.co/models
Release date

Updated Sep 25, 2024

[6]huggingface.co/models
Parameter count

8B parameters

[4]huggingface.co/models
Modality

Text Generation

[4]huggingface.co/models
Platform

Hugging Face Models

[4]huggingface.co/models
Integration

Available via inference providers including Groq, Novita, Cerebras, Nscale, fal-ai, Together, Fireworks AI, Featherless AI, Zai, Replicate, Cohere, Scaleway, Public AI, OVHcloud, HF Inference, WaveSpeed, and DeepInfra

[4]huggingface.co/models
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Content Generation

Use case

Long-Document Analysis

Use case

Audio Transcription

Use case

Semantic Search

Use case

Data Translation

Capability

Chat Completion inference task

Capability

Feature Extraction inference task

Capability

Text to Image inference task

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

Dedicated Pricing and Billing documentation is providedYes — open-source models are available from the Hub

Platforms

Hugging FaceHugging Face Inference ProvidersHugging Face ModelsPyTorch
Implementation details

Adoption notes

DeploymentSelectable regions for storing and auditing repository data · Serverless inference · text-generation-inference supported
LicenseYes — open-source models are available from the Hub
Model supportLlama-3.1-8B-Instruct · meta-llama/Llama-3.1-8B-Instruct
Data controlSingle Sign-On (SSO) integration with an identity provider · Audit logs reporting on actions taken on the Hub · Resource Groups providing granular access control to repositories
Learning curveIntermediate
Primary use casesContent Generation, Long-Document Analysis, Audio Transcription, Semantic Search, Data Translation

What to verify before adopting

    Evolution and major updates

    Llama 3.1 8B Instruct timeline

    A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

    1 dated update
    Latest first · exact dates

    Showing the newest updates and meaningful milestones. Open an entry for its summary and source.

    1. Release note

      Hugging Face repository published

      Open details

      The public model repository was created on Hugging Face. This repository date may differ from the model's original release date.

      View source [3]
    Citation ledger

    Recorded sources

    16 unique pages

    Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

    1. 1huggingface.co/docs/inference-providers/index 12 facts · 5 answers · Documentation
    2. 2huggingface.co/support 11 facts · 1 answer · Official site
    3. 3huggingface.co/meta-llama/Llama-3.1-8B-Instruct 9 facts · 1 milestone · Official site
    4. 4huggingface.co/models 8 facts · 1 answer · Official site
    5. 5huggingface.co/models 8 facts · Official site
    6. 6huggingface.co/models 5 facts · 1 answer · Official site
    7. 7huggingface.co/models 3 facts · 1 answer · Official site
    8. 8huggingface.co/blog Official site
    9. 9huggingface.co/docs Documentation
    10. 10huggingface.co/docs/hub/eval-results Documentation
    11. 11huggingface.co/docs/safetensors/index Documentation
    12. 12huggingface.co/inference/models Official site
    13. 13huggingface.co/models Official site
    14. 14huggingface.co/models Official site
    15. 15huggingface.co/pricing Pricing
    16. 16huggingface.co/privacy Security
    Research status53 substantive facts · 16 source pages · quality score 95/100