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LG AI Research · বহুমাধ্যম

EXAONE মডেল: সংস্করণ, বৈশিষ্ট্য, GPU প্রয়োজন ও hosting

LG AI Research EXAONE combines multilingual reasoning and vision-language checkpoint with explicit deployment evidence for large sparse releases.

Technical deployment reference illustration for EXAONE
Reference deployment flow; exact architecture facts are listed separately.

পরিচিতি ও ইতিহাস

EXAONE is an official LG AI Research model family represented here through independently verified release, checkpoint, license, runtime and hardware evidence. LG AI Research EXAONE combines multilingual reasoning and vision-language checkpoint with explicit deployment evidence for large sparse releases. Current public releases are grouped by the General, Vision language tracks so sibling sizes and specialist branches are not presented as false chronological generations.

FusionPointAI currently tracks 10 certified public EXAONE releases. The catalogue preserves release dates and evaluates Current, Recent, Previous and Legacy status within each model track rather than by database insertion order.

Multilingual reasoning
Vision-language track
Large-model deployment evidence

স্থাপত্য ও মডেলের পরিসর

The verified public range spans 33B to 750B total parameters and context windows up to 262,144 টোকেন. Each release states whether it is dense or mixture-of-experts and records active parameters separately when the official source publishes them.

প্রকাশ্য release10
মডেলের track2
বর্তমান প্রজন্মK-EXAONE 2.0 750B-A37B
সর্বশেষ যাচাই2026-09-03T00:00:00.000000Z

প্রজন্ম, track ও variant

সাধারণ

দৃশ্য ও ভাষা

স্থাপনা-পরিবেশ

Choose a specific EXAONE release and certified checkpoint before sizing hardware. FusionPointAI rejects unknown runtime configurations, calculates resident memory from total model weights, then distinguishes globally compatible GPUs from currently rentable inventory.

Validate the exact checkpoint license, runtime version, precision kernel, context length, concurrency and multi-GPU topology. Active MoE parameters affect compute, but resident model memory continues to use total stored weights.

সাধারণ ব্যবহার

Multilingual assistants
Document reasoning
Vision-language analysis

লাইসেন্সের সারাংশ

Licenses are certified per release, not inferred from the provider. Review the release page before commercial deployment because terms can differ between generations and variants.

Commercial-use status is a source-backed catalogue classification, not legal advice. Follow the linked official license and attribution requirements.

Release-এর সময়রেখা

lg-ai-research/exaone/exaone-45-33b-fp8

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উৎস revision: 1d08770e7ea5c515788b5557096a75f71ad4f292f38358115ce6d58acb5e0950

lg-ai-research/exaone/k-exaone-236b-a23b-gguf

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উৎস revision: c3a1a400f0deaee97a415c756cfbfef827a1618796caca47c48ad9b3e591ecb0

lg-ai-research/exaone/exaone-45-33b-gguf

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উৎস revision: 84f8af8cb0b194c61ae45fc50febc201305d36ea77e2cab5d12fc3ac4ac38e44

lg-ai-research/exaone/exaone-45-33b-awq

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উৎস revision: 41ee9aaf7673326c3b36bd69dd4efb2f924ef1b9f0c007a1485e59c49ddd5abb

lg-ai-research/exaone/exaone-4-5-33b

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উৎস revision: 82680856b53713ab773a163772557f7c01f52c6b21f0060d01ed863d84d6d19c

lg-ai-research/exaone/k-exaone-236b-a23b

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উৎস revision: e0467fb988508a8a375111f9ae6a203d20022d40d76130a4ca56d826552365a1

lg-ai-research/exaone/k-exaone-236b-a23b-fp8

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উৎস revision: 749e06a632c93199df5ae66ffbedd9838549e63a3c6336a8b830c744286728b2

lg-ai-research/exaone/k-exaone-20-750b-a37b-nvfp4

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উৎস revision: d1157c090068b7a82dfc3672f3f967bb7d595fa829c333c7e6976d9b345753d6

lg-ai-research/exaone/k-exaone-2-750b-a37b

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উৎস revision: 863ab927f6da1d3740ee17b121d4cbd5f2acecd44c1366051fe6e5ff24f63260

lg-ai-research/exaone/k-exaone-20-750b-a37b-fp8

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উৎস revision: 2c133156678bb54b07e2648b5537f512010bff17dad73d5f1a432eef25c94265

সাধারণ জিজ্ঞাসা

Which EXAONE release is current?

Current releases are K-EXAONE 2.0 750B-A37B, EXAONE 4.5 33B, evaluated within their respective tracks.

Can EXAONE be self-hosted?

Only releases with a verified official checkpoint and supported runtime configuration are presented as deployable.

Which GPU should run EXAONE?

GPU selection depends on the exact variant, checkpoint precision, context length and concurrency; use the release hardware recommendations rather than the family name alone.

সরকারি তথ্যসূত্র

সর্বশেষ যাচাই: 2026-09-03