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E3

EXAONE 3.5 32B Instruct

huggingface.co·Infrastructure·🇰🇷

EXAONE-3.5-32B-Instruct-AWQ is an instruction-tuned 32 billion parameter model developed by LG AI Research. It supports both English and Korean and is provided in 4-bit AWQ quantized format for efficient local inference. The model is designed for conversational tasks and general text generation.

Open SourceWebCLI
EEXAONE 3.5 32B Instruct preview
Visit huggingface.co↗

Overview

3 features

EXAONE 3.5 32B Instruct is a Foundation models & chat project. It focuses on running a high-performance, multilingual instruction model locally with reduced memory footprint via AWQ quantization. It is built as an open-source project for developers. EXAONE 3.5 32B Instruct is open source under the Open Source license. It runs on the web and the command line.

LG AI Research builds and maintains EXAONE 3.5 32B Instruct, and it first shipped in 2024. Among its 3 catalogued features are Instruction Tuning, 4-bit Quantization, and Multilingual Support.

Summary written by a language model from the project’s public pages.

  • ✓Instruction Tuning
  • ✓4-bit Quantization
  • ✓Multilingual Support
Tags
exaone32b-modelinstruct-llmawq-quantized
AI capabilities
Text
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
AI providers
local_oss
Runs on
BrowserCLI
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss
bollama in the HTML · bllama in the HTML · bvllm in the HTML

Trust & compliance

License
Open Source
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source✓Free tier
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed19 Jul · 20:20 UTC
    LGAI-EXAONE/EXAONE-3.5-32B-Instruct-AWQ verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about EXAONE 3.5 32B Instruct

What is EXAONE 3.5 32B Instruct?
EXAONE 3.5 32B Instruct focuses on running a high-performance, multilingual instruction model locally with reduced memory footprint via AWQ quantization. It is catalogued under Foundation models & chat on PulseGate.
Who is EXAONE 3.5 32B Instruct for?
EXAONE 3.5 32B Instruct is an open-source project built for developers.
Is EXAONE 3.5 32B Instruct free?
Yes — EXAONE 3.5 32B Instruct is open source under the Open Source license and free to use.
What platforms does EXAONE 3.5 32B Instruct run on?
EXAONE 3.5 32B Instruct runs on the web and the command line.
Is EXAONE 3.5 32B Instruct still maintained?
Unverified. EXAONE 3.5 32B Instruct has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to EXAONE 3.5 32B Instruct?
Similar projects tracked by PulseGate include EXAONE 3.5 7.8B Instruct, EXAONE 3.5 7.8B Instruct, and EXAONE 4.0 32B.EXAONE 3.5 7.8B InstructEXAONE 3.5 7.8B InstructEXAONE 4.0 32B
Who makes EXAONE 3.5 32B Instruct?
EXAONE 3.5 32B Instruct is developed by LG AI Research, based in South Korea.
When did EXAONE 3.5 32B Instruct launch?
EXAONE 3.5 32B Instruct first shipped in 2024.

At a glance

Pricing
Open Source
Platforms
Cli · Web
Languages
English
License
Open Source
Built for
developers
Model
Open source
Solves
Running a high-performance, multilingual instruction model locally with reduced memory footprint via AWQ quantization.

Registered as

Hugging Face
LGAI-EXAONE/EXAONE-3.5-32B-Instruct-AWQ

Developer

🇰🇷LG AI Research

Live coverage

Identity confidence
Medium · 70.4
Indexed
19 Jul 2026
Lifecycle
Unverified
Last seen
19 Jul 2026
Identity audit (12)
Slug
lgai-exaone-exaone-3-5-32b-instruct-awq-huggingface-co
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
19 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
31 Jul 2026
Canonical URL
https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-32B-Instruct-AWQ

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