{"schema_version":"onlylabs.public_signal.v1","title":"LG AI Research (EXAONE) Model: LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","description":"LG AI Research (EXAONE) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9","json_url":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9/signal.json","generated_at":"2026-09-09T18:56:17.029Z","evidence_latest_fetched_at":"2026-07-31T07:20:21.060555+00:00","signal_first_seen_at":"2026-07-31T07:20:07.960395+00:00","org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/lg-ai","dossier_json_url":"https://onlylabs.fyi/labs/lg-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9","signal_json":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9/signal.json","source":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","lab_dossier":"https://onlylabs.fyi/labs/lg-ai","lab_dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/lg-ai","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"LG AI Research (EXAONE) published LGAI-EXAONE/K-EXAONE-2.0-750B-A37B. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license apache-2.0 · 2.8K HF downloads · Low traction, routine model release.. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","source_host":"huggingface.co","occurred_at":"2026-07-29T02:52:49+00:00","first_seen_at":"2026-07-31T07:20:07.960395+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"LG AI Research (EXAONE)","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"huggingface.co","source":"source"},{"label":"Task","value":"text-generation","source":"model"},{"label":"License","value":"apache-2.0","source":"model"},{"label":"Library","value":"transformers","source":"model"},{"label":"Params","value":"749.4B","source":"model"},{"label":"Downloads","value":"2.8K","source":"traction"},{"label":"Likes","value":"155","source":"traction"},{"label":"Notability","value":"Low traction, routine model release.","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B/raw/main/README.md"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-07-31T07:20:21.060555+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9/signal.json","dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","evidence_focus":["model card","release note","version or tag","pipeline tag","license","downloads, likes, stars, and linked papers"],"extraction_questions":["What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Which launches create new eval, data, infra, or deployment needs?","Which shipped signals are missing captured page context?"],"signal_questions":["What shipped in this model artifact, and what evidence describes its capability, license, or traction?","What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Do the 6 related model signals show a repeated pattern?"],"output_fields":["org","release_type","artifact","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9/signal.json","required":true},{"label":"source","url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/lg-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze LG AI Research (EXAONE)'s model signal \"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B\" for neolab strategy."},"semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published model","object":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","text":"LG AI Research (EXAONE) published model LGAI-EXAONE/K-EXAONE-2.0-750B-A37B."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"is classified as","object":"model signal","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B is classified as model signal."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"belongs to","object":"releases desk","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B belongs to releases desk."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has evidence coverage 1 captured evidence page."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has captured page count","object":"1","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has captured page count 1."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has readable page count","object":"1","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has readable page count 1."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has related signal count","object":"6","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has related signal count 6."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has analysis playbook objective","object":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has analysis playbook objective Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has source host","object":"huggingface.co","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has source host huggingface.co."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has lab","object":"LG AI Research (EXAONE)","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has lab LG AI Research (EXAONE)."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has signal desk","object":"releases","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has signal desk releases."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has source host","object":"huggingface.co","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has source host huggingface.co."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has task","object":"text-generation","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has task text-generation."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has license","object":"apache-2.0","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has license apache-2.0."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has library","object":"transformers","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has library transformers."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has params","object":"749.4B","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has params 749.4B."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has downloads","object":"2.8K","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has downloads 2.8K."}]},"intelligence":{"signal_desk":"releases","answer":"LG AI Research (EXAONE) published LGAI-EXAONE/K-EXAONE-2.0-750B-A37B. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license apache-2.0 · 2.8K HF downloads · Low traction, routine model release.. onlylabs links this event to 1 captured evidence page and 6 related model signals.","semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published model","object":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","text":"LG AI Research (EXAONE) published model LGAI-EXAONE/K-EXAONE-2.0-750B-A37B."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"is classified as","object":"model signal","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B is classified as model signal."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"belongs to","object":"releases desk","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B belongs to releases desk."},{"subject":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B has evidence coverage 1 captured evidence page."}]},"signal":{"id":"ccf2ac93-7091-4ddd-9f3f-8ff6508306b9","url":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9","json_url":"https://onlylabs.fyi/signals/ccf2ac93-7091-4ddd-9f3f-8ff6508306b9/signal.json","source_url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","title":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B","summary":"LG AI Research (EXAONE) published a model signal. onlylabs watches model cards, launch context, and traction.","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-07-29T02:52:49+00:00","first_seen_at":"2026-07-31T07:20:07.960395+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B/raw/main/README.md"]},"facets":{"pipeline_tag":"text-generation","license":"apache-2.0"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":2826,"hf_likes":155},"data_radar":null},"primary_evidence_page":{"is_primary":true,"source_match":true,"url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B/raw/main/README.md","final_url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B/raw/main/README.md","title":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-07-31T07:20:21.060555+00:00","bytes":32913,"raw_path":"30c3855821005a4f9d2658a67ec3a9d9b3b23f06a7ac7334086f17aca256b2bc.md","content_hash":"f29fecace52bec555c0ee604cc8f7b90a806c435d06e6daa786e9aa155fbf9ae","excerpt_chars":1200,"truncated":true,"excerpt":"K-EXAONE-2.0-750B-A37B Introduction We introduce **K-EXAONE 2.0**, a frontier-scale multilingual language model developed by LG AI Research. K-EXAONE 2.0 was scaled to more than three times the size of its predecessor through upcycling, followed by continual pretraining, difficulty-focused mid-training, and post-training. K-EXAONE 2.0 is broadly competitive with leading open-weight models, demonstrating substantial improvements over its predecessor and achieving particularly strong results in long-context retrieval and safety. Highlights - **Frontier-Class Scale** To build a large-scale foundation model with frontier-level intelligence, we upcycled the [K-EXAONE](https://huggingface.co/collections/LGAI-EXAONE/k-exaone) model by expanding both its depth and width, resulting in a more favorable scaling curve. During this process, we found that clamping after two SwiGLU branches effectively mitigates the exploding activations in deeper layers, improving both training and inference stability. - **Advanced Reasoning & Agentic Intelligence** In response to the growth of agentic AI, we focused on expanding the model's capabilities in reasoning, agentic workflows, and long-context..."},"evidence_pages":[],"related_signals":[{"id":"2f7e1ced-5646-490e-9a6b-0253b4587a1e","url":"https://onlylabs.fyi/signals/2f7e1ced-5646-490e-9a6b-0253b4587a1e","source_url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B-DSpark","title":"LGAI-EXAONE/K-EXAONE-2.0-750B-A37B-DSpark","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-07-30T08:48:54+00:00","first_seen_at":"2026-07-31T07:20:07.960395+00:00","date_source":"source"},{"id":"568d04dd-6e72-4ba8-8e85-3a788fd371c6","url":"https://onlylabs.fyi/signals/568d04dd-6e72-4ba8-8e85-3a788fd371c6","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.5-33B","title":"LGAI-EXAONE/EXAONE-4.5-33B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-04-04T08:34:23+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"92204e0f-9a7f-4312-996b-d76305bf7a53","url":"https://onlylabs.fyi/signals/92204e0f-9a7f-4312-996b-d76305bf7a53","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.0-rev-EGFR","title":"LGAI-EXAONE/EXAONE-Path-2.0-rev-EGFR","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-03-04T11:42:00+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"2f090e5b-b86b-49e5-85a6-4b86fa28479e","url":"https://onlylabs.fyi/signals/2f090e5b-b86b-49e5-85a6-4b86fa28479e","source_url":"https://huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B","title":"LGAI-EXAONE/K-EXAONE-236B-A23B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-26T11:55:04+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"5be8317e-2787-4b9c-bdc0-1a8f73f3e40c","url":"https://onlylabs.fyi/signals/5be8317e-2787-4b9c-bdc0-1a8f73f3e40c","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-Path-2.5","title":"LGAI-EXAONE/EXAONE-Path-2.5","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-15T16:34:54+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"},{"id":"470a48e0-b893-4962-b281-5501d34af45a","url":"https://onlylabs.fyi/signals/470a48e0-b893-4962-b281-5501d34af45a","source_url":"https://huggingface.co/LGAI-EXAONE/EXAONE-4.0.1-32B","title":"LGAI-EXAONE/EXAONE-4.0.1-32B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-29T07:32:29+00:00","first_seen_at":"2026-06-06T01:49:32.870864+00:00","date_source":"source"}]}