Models › EXAONE-4.5 family

LGAI-EXAONE exaone out 7 months ago

34.4B parameters, images and text in, text out, 256K tokens of context.

Verified 2026-10-25 Rank #682 in LLMs · score 72.5 method v1 Sources 3 Downloads 30d 37.1k · #403 of 619 tracked

Can I run it?21GB at INT4Estimatefits a 24 GB cardmethod
Can I use it?exaoneCustom license; read the repo LICENSE before commercial hostinglicence file2026-10-24
Do people use it?37.1kdownloads, 30 days#403 of 619 we track · below the median+1 likes, downloads −19% this week188 likesHugging Face2026-10-24

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 21 quantized builds and 2 Spaces.

  • As a service0no API provider listed
  • On own hardware21quantized builds
  • Built on00 fine-tunes · 0 adapters · 0 merges
  • In apps2Hugging Face Spaces

Top Spaces running it: mayafree/Model-Genome-Korea ♥ 33

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 64 GB Mac (unified memory) at INT4

About 21 GB at INT4, 41 GB at FP8, 82 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 21 GB of weights (estimate; KV cache and activations extra)INT421 GBFP8: about 41 GB of weights (estimate; KV cache and activations extra)FP841 GBBF16: about 82 GB of weights (estimate; KV cache and activations extra)BF1682 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 21 GB of weights (estimate; KV cache and activations extra)INT421 GBFP8: about 41 GB of weights (estimate; KV cache and activations extra)FP841 GBBF16: about 82 GB of weights (estimate; KV cache and activations extra)BF1682 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

8 repo commits since the weights landed

Teal is the weights (2026-04-04), grey ticks are repo commits.

MayJunJulAugSepOct2026-07-06: 1 repo commit2026-06-16: 1 repo commit2026-04-29: 2 repo commits2026-04-15: 1 repo commit2026-04-14: 1 repo commit2026-04-09: 2 repo commitsWeights 2026-04-04 · 2026-04-04Weights 2026-04-04now
MayJunJulAugSepOct2026-07-06: 1 repo commit2026-06-16: 1 repo commit2026-04-29: 2 repo commits2026-04-15: 1 repo commit2026-04-14: 1 repo commit2026-04-09: 2 repo commitsWeights 2026-04-04 · 2026-04-04Weights 2026-04-04now

What people built on it

21 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

21 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

21 quantized (Hugging Face model tree)21 quantized
21 quantized (Hugging Face model tree)21 quantized

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

16 rows

Benchmarks 16 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (16)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported AI2D · Understand images and video89EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported BLINK · Understand images and video68.8EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported BabyVision18.8EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported CharXiv · Extract text from documents71.7EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported ChartQA · Understand images and video62.2EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported HallusionBench · Understand images and video63.7EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported LogicVista73.8EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported MATH-500 · Reason through hard problems79.1EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported MMMU · Understand images and video78.7EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported MMMU-Pro · Understand images and video68.6EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported MMStar · Understand images and video74.9EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported MathVision · Understand images and video75.2EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported MathVista · Understand images and video85EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported MedXpertQA-MM42.1EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported OCRBench · Extract text from documents63.2EXAONE 4.5 33B (Reasoning)model author2026-10-07
author-reported OmniDocBench · Extract text from documents81.2EXAONE 4.5 33B (Reasoning)model author2026-10-07

Use-case evidence

6 use cases

What it is good at 6 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

22 fields

Listed in LLMs

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesExaone4_5_ForConditionalGeneration
Model typeexaone4_5
Dtypebfloat16
Params by dtypeBF16: 34,350,097,664
Size bandL
MoEno
Context length262,144 (config.json max_position_embeddings)
Languagesen, ko, es, de, ja, vi
PapersarXiv:2604.08644
Licenseexaone (other)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Exaone4_5_ForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: not in registry · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for EXAONE-4.5-33B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)82 GB · Multi-GPU node (<640 GB)
FP8 (1 byte/param)41 GB · Single high-end GPU (<80 GB)
INT4 (0.5 bytes/param)21 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

21 variants

Lineage

Original model Family: LGAI-EXAONE/EXAONE-4.5 21 derivatives on the Hub

quantized: 21

Top variants (21 shown, ranked by downloads)

Quant
Size
21 rows
Variant Relation Quant Params Band License Author Likes Downloads
LGAI-EXAONE/EXAONE-4.5-33B-AWQ quantized AWQ 7.51B M other LGAI-EXAONE 7 143.9k
LGAI-EXAONE/EXAONE-4.5-33B-FP8 quantized -FP8 34.4B L other LGAI-EXAONE 27 93.8k
LGAI-EXAONE/EXAONE-4.5-33B-GGUF quantized GGUF — — other LGAI-EXAONE 54 28.5k
mradermacher/EXAONE-4.5-33B-i1-GGUF quantized GGUF — — other mradermacher 2 4.8k
mradermacher/EXAONE-4.5-33B-GGUF quantized GGUF — — other mradermacher 0 2.2k
jkim96/EXAONE-4.5-33B-DASHQ-Q2-GGUF quantized GGUF — — other jkim96 0 1.1k
jkim96/EXAONE-4.5-33B-DASHQ-INT3-g128 quantized — 2.86B M other jkim96 0 942
jkim96/EXAONE-4.5-33B-DASHQ-INT3-g64 quantized — 2.86B M other jkim96 0 668
jkim96/EXAONE-4.5-33B-DASHQ-INT2-g32 quantized — 2.86B M other jkim96 0 637
jkim96/EXAONE-4.5-33B-DASHQ-INT3-g32 quantized — 2.86B M other jkim96 0 613
sashisuseso/EXAONE-4.5-33B-GGUF quantized GGUF — — other sashisuseso 1 556
lee5j/EXAONE-4.5-33B-NVFP4 quantized NVFP4 20.2B L other lee5j 1 470
jkim96/EXAONE-4.5-33B-DASHQ-INT4-g64 quantized INT4 2.86B M other jkim96 0 222
haanjack/EXAONE-4.5-33B-MXFP4 quantized MXFP4 20.9B L other haanjack 0 206
jkim96/EXAONE-4.5-33B-DASHQ-INT4-g32 quantized INT4 2.86B M other jkim96 0 191
jkim96/EXAONE-4.5-33B-DASHQ-INT4-g128 quantized INT4 2.86B M other jkim96 0 183
Hyun9junn/EXAONE-4.5-33B-FlatQuant-W4A16 quantized -W4A16 6.98B M other Hyun9junn 0 182
lee5j/EXAONE-4.5-33B_GPTQ4 quantized GPTQ 34.6B L — lee5j 0 126
lee5j/EXAONE-4.5-33B_GPTQ8 quantized GPTQ 34.4B L — lee5j 0 108
GotoAI-Inc/EXAONE-4.5-33B-W8A16 quantized — 34.4B L other GotoAI-Inc 0 55
GotoAI-Inc/EXAONE-4.5-33B-W4A16 quantized -W4A16 34.4B L other GotoAI-Inc 0 30

Repository changelog

8 commits

Repository changelog 8 commits

DateCommitSHA
2026-07-06 Update dependencies to official releases 570aa4b
2026-06-16 Update config.json e9949a4
2026-04-29 Update config.json c8645dd
2026-04-29 Update README.md 04a56cc
2026-04-15 Update README.md 58d6616
2026-04-14 Update README.md 49c2d11
2026-04-09 Update README.md 9644e54
2026-04-09 Initial commit acb250c

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:42 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25

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