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K EXAONE 2.0 750B A37B
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by LGAI EXAONE
OPEN WEIGHTSLOCALSMALL
RANKED #278 OF 318 ASSISTANTS · OVERALL #427 OF 494 RANKED · VIBE SCORE 5.2 · 79 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
K-EXAONE-2.0-750B-A37B on Hugging Face (text generation). 3,535 downloads. Open weights for local or hosted use.
HAPPY4.9
79 mentions
SAD-
0 mentions
VIBE TRAJECTORY
26 weeks · 81 voices in this window
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download K EXAONE 2.0 750B A37B once and it's yours. No subscription, no rate limits, works offline.
750B total parameters (MoE with 37B active), a Q4/NVFP4 quant requires about 400 GB to 450 GB memory
- BARE MINIMUM
Too large for consumer hardware; requires a dual-socket serv
512 GB RAM
~$4,500 NEWQ4 GGUF running via CPU offloading, ~2 tok/s, 8k context
- SWEET SPOT
Workstation with 8x NVIDIA RTX 3090 24GB GPUs
192 GB VRAM + 256 GB RAM
~$7,200 USEDNVFP4 / Q4 quantized MoE with partial layer offloading, ~12 tok/s, 32k context
- FULL POWER
Dedicated AI server with 8x NVIDIA H100 80GB GPUs
640 GB VRAM
~$240,000 NEWFP8 / BF16 inference at full speed with speculative decoding, ~45 tok/s, 262k context
LEARN HOW TO SET IT UP
WILL MY BOX RUN K EXAONE 2.0 750B A37B?
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long K EXAONE 2.0 750B A37B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMToo large for consumer hardware; requires a dual-socket serv | SWEET SPOTWorkstation with 8x NVIDIA RTX 3090 24GB GPUs | FULL POWERDedicated AI server with 8x NVIDIA H100 80GB GPUs |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~4.2 MIN | ~42 S | ~11 S |
| Summarize a documenta long report boiled down to the points that matter | ~13 MIN | ~2.1 MIN | ~33 S |
| Build a websitea small landing page, markup and styles together | ~67 MIN★★★★★ | ~11 MIN★★★★★ | ~3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~3.5 HR★★★★★ | ~35 MIN★★★★★ | ~9.3 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~2.1 HR★★★★★ | ~21 MIN★★★★★ | ~5.6 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
WHAT THE INTERNET SAYS
Not enough discussion about K EXAONE 2.0 750B A37B yet to call it. We found 79 posts but people did not say much either way.
79 POSTS · 0 COMMENTS · REDDIT · GITHUB
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT MORE
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE? SEE ALL
Other models the crowd has fully reviewed, starting with text models like this one.
Qwen3.8 27B
Muse Spark 1.3 Contributor
DeepSeek V4 Flash> SOURCES (12)
- REDDIT · 2026-07-31 · 14 UPVOTESK-EXAONE 2.0 released
K-EXAONE 2.0 released
- GITHUB · 2026-09-08 · 2 UPVOTESBump vllm from 0.6.3 to 0.27.0 in /verifiers/berkeley-function-call-leaderboard
Bump vllm from 0.6.3 to 0.27.0 in /verifiers/berkeley-function-call-leaderboard
- GITHUB · 2026-09-08 · 2 UPVOTESBump vllm from 0.7.3 to 0.27.0
Bump vllm from 0.7.3 to 0.27.0
- GITHUB · 2026-09-08 · 2 UPVOTESBump vllm from 0.6.2 to 0.27.0 in /skythought/tools
Bump vllm from 0.6.2 to 0.27.0 in /skythought/tools
- GITHUB · 2026-09-14 · 1 UPVOTESfeat(recipes): add K-EXAONE 2.0 750B-A37B NVFP4 vLLM recipes for B200
feat(recipes): add K-EXAONE 2.0 750B-A37B NVFP4 vLLM recipes for B200
- GITHUB · 2026-09-10 · 1 UPVOTESfix(container/vllm): patch exaone_moe lm_head prefix + bump vLLM to v0.28.0 for K-EXAONE
fix(container/vllm): patch exaone_moe lm_head prefix + bump vLLM to v0.28.0 for K-EXAONE
- GITHUB · 2026-09-10 · 1 UPVOTESfix(container/vllm): patch exaone_moe lm_head prefix so K-EXAONE 2.0 NVFP4 loads
fix(container/vllm): patch exaone_moe lm_head prefix so K-EXAONE 2.0 NVFP4 loads
- GITHUB · 2026-08-26 · 0 UPVOTESdiscover: new model candidates 2026-08-26
discover: new model candidates 2026-08-26
- GITHUB · 2026-08-15 · 0 UPVOTESdiscover: new model candidates 2026-08-15
discover: new model candidates 2026-08-15
- GITHUB · 2026-08-16 · 0 UPVOTESdiscover: new model candidates 2026-08-16
discover: new model candidates 2026-08-16
- GITHUB · 2026-08-14 · 0 UPVOTESdiscover: new model candidates 2026-08-14
discover: new model candidates 2026-08-14
- GITHUB · 2026-08-15 · 0 UPVOTESfeat(container): update image vllm/vllm-openai to v0.27.1
feat(container): update image vllm/vllm-openai to v0.27.1