{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/mxfp4-llm","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/86c1e3cf-35ba-445f-828d-a736d0753c8f","json_url":"https://onlylabs.fyi/signals/86c1e3cf-35ba-445f-828d-a736d0753c8f/signal.json","generated_at":"2026-06-11T03:58:51.747108+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/86c1e3cf-35ba-445f-828d-a736d0753c8f","signal_json":"https://onlylabs.fyi/signals/86c1e3cf-35ba-445f-828d-a736d0753c8f/signal.json","source":"https://github.com/amazon-science/mxfp4-llm","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"}]}},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/mxfp4-llm (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/mxfp4-llm · language Python · Solid repo from Amazon Science, moderate traction. onlylabs links this event to 1 captured evidence page and 6 related repo signals. It also maps to Infrastructure in the data-business radar.","signal_desk":"repos","source_context":{"source_url":"https://github.com/amazon-science/mxfp4-llm","source_host":"github.com","occurred_at":"2025-04-23T21:11:42+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source","context":"Python"},"context_markers":[{"label":"Lab","value":"Amazon (Nova)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"amazon-science/mxfp4-llm","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Stars","value":"126","source":"traction"},{"label":"Notability","value":"Solid repo from Amazon Science, moderate traction","source":"signal"},{"label":"Radar lane","value":"Infrastructure","source":"radar"},{"label":"Matched term","value":"training","source":"radar"},{"label":"Watch term","value":"Data 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imply eval, data, infrastructure, agent, or deployment work?","Is the repo new evidence for a lab direction that is not yet in writing or releases?","Which related signals should an analyst inspect next?"],"signal_questions":["What does this new repository reveal before a formal announcement exists?","What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Which data-business lane explains this signal: Infrastructure?","Do the 6 related repo signals show a repeated pattern?"],"output_fields":["org","repo","technical_theme","data_business_lane","evidence_url"],"data_business_relevance":"New repositories can expose organization build priorities early, especially around internal tooling, eval infrastructure, data systems, deployment, and agent 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implications."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/mxfp4-llm","text":"Amazon (Nova) published repo amazon-science/mxfp4-llm."},{"subject":"amazon-science/mxfp4-llm","predicate":"is classified as","object":"repo signal","text":"amazon-science/mxfp4-llm is classified as repo signal."},{"subject":"amazon-science/mxfp4-llm","predicate":"belongs to","object":"repos desk","text":"amazon-science/mxfp4-llm belongs to repos desk."},{"subject":"amazon-science/mxfp4-llm","predicate":"has context","object":"Python","text":"amazon-science/mxfp4-llm has context Python."},{"subject":"amazon-science/mxfp4-llm","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/mxfp4-llm has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/mxfp4-llm","predicate":"matches data-business lanes","object":"Infrastructure","text":"amazon-science/mxfp4-llm matches data-business lanes 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channels.."},{"subject":"amazon-science/mxfp4-llm","predicate":"has source host","object":"github.com","text":"amazon-science/mxfp4-llm has source host github.com."},{"subject":"amazon-science/mxfp4-llm","predicate":"has lab","object":"Amazon (Nova)","text":"amazon-science/mxfp4-llm has lab Amazon (Nova)."},{"subject":"amazon-science/mxfp4-llm","predicate":"has signal desk","object":"repos","text":"amazon-science/mxfp4-llm has signal desk repos."},{"subject":"amazon-science/mxfp4-llm","predicate":"has source host","object":"github.com","text":"amazon-science/mxfp4-llm has source host github.com."},{"subject":"amazon-science/mxfp4-llm","predicate":"has repository","object":"amazon-science/mxfp4-llm","text":"amazon-science/mxfp4-llm has repository amazon-science/mxfp4-llm."},{"subject":"amazon-science/mxfp4-llm","predicate":"has language","object":"Python","text":"amazon-science/mxfp4-llm has language Python."},{"subject":"amazon-science/mxfp4-llm","predicate":"has 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/mxfp4-llm · language Python · Solid repo from Amazon Science, moderate traction. onlylabs links this event to 1 captured evidence page and 6 related repo signals. It also maps to Infrastructure in the data-business radar.","semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/mxfp4-llm","text":"Amazon (Nova) published repo amazon-science/mxfp4-llm."},{"subject":"amazon-science/mxfp4-llm","predicate":"is classified as","object":"repo signal","text":"amazon-science/mxfp4-llm is classified as repo signal."},{"subject":"amazon-science/mxfp4-llm","predicate":"belongs to","object":"repos desk","text":"amazon-science/mxfp4-llm belongs to repos desk."},{"subject":"amazon-science/mxfp4-llm","predicate":"has context","object":"Python","text":"amazon-science/mxfp4-llm has context Python."},{"subject":"amazon-science/mxfp4-llm","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/mxfp4-llm has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/mxfp4-llm","predicate":"matches data-business lanes","object":"Infrastructure","text":"amazon-science/mxfp4-llm matches data-business lanes Infrastructure."}]},"signal":{"id":"86c1e3cf-35ba-445f-828d-a736d0753c8f","url":"https://onlylabs.fyi/signals/86c1e3cf-35ba-445f-828d-a736d0753c8f","json_url":"https://onlylabs.fyi/signals/86c1e3cf-35ba-445f-828d-a736d0753c8f/signal.json","source_url":"https://github.com/amazon-science/mxfp4-llm","title":"amazon-science/mxfp4-llm","summary":"Amazon (Nova) published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2025-04-23T21:11:42+00:00","first_seen_at":"2026-06-05T20:58:37.464059+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://github.com/amazon-science/mxfp4-llm"]},"facets":{"repo":"amazon-science/mxfp4-llm","language":"Python"},"traction":{"github_stars":126,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":{"lanes":[{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure"}],"score":14,"matched_terms":["training"],"reason":"Amazon (Nova) has a repo signal matching infrastructure."}},"primary_evidence_page":{"url":"https://github.com/amazon-science/mxfp4-llm","final_url":"https://github.com/amazon-science/mxfp4-llm","title":"amazon-science/mxfp4-llm repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:58:51.747108+00:00","bytes":20708,"raw_path":"fcd8229fa435ec71dc512a7180400a5d8997bf75dfa1a3daa3c772bc33f9354c.json","content_hash":"dde4fb7ab5a6f9a2a6b8e0c15175b7b34c85d545a9cf362b1520357f8b9b9522","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/mxfp4-llm Description: Official implementation for Training LLMs with MXFP4 Language: Python License: Apache-2.0 Stars: 127 Forks: 18 Open issues: 2 Created: 2025-04-23T21:11:42Z Pushed: 2025-04-25T06:28:35Z Default branch: main Fork: no Archived: no README: [Training LLMs with MXFP4](https://arxiv.org/abs/2502.20586) [![preprint](https://img.shields.io/static/v1?label=arXiv&message=2405.03637&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2502.20586) [![License: MIT](https://img.shields.io/badge/License-Apache--2.0-green.svg)](https://opensource.org/licenses/Apache-2.0) Introduction This repo contains official implementation for Training LLMs with MXFP4. Our MXFP4 training recipe achieves near-lossless training by computing unbiased gradient estimates (with stochastic rounding and random Hadamard transformation) using MXFP4-accelerated GEMMs. This allows us compute the backward pass in MXFP4, which constitutes $>1/2$ of the FLOPs during training. We support training with [`NVIDIA/Megatron-LM`](https://github.com/NVIDIA/Megatron-LM/tree/main) and [`NVIDIA/TransformerEngine`](https://github.com/NVIDIA/TransformerEngine/tree/main). Due to lack of MXFP4 hardware..."},"evidence_pages":[{"url":"https://github.com/amazon-science/mxfp4-llm","final_url":"https://github.com/amazon-science/mxfp4-llm","title":"amazon-science/mxfp4-llm repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:58:51.747108+00:00","bytes":20708,"raw_path":"fcd8229fa435ec71dc512a7180400a5d8997bf75dfa1a3daa3c772bc33f9354c.json","content_hash":"dde4fb7ab5a6f9a2a6b8e0c15175b7b34c85d545a9cf362b1520357f8b9b9522","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/mxfp4-llm Description: Official implementation for Training LLMs with MXFP4 Language: Python License: Apache-2.0 Stars: 127 Forks: 18 Open issues: 2 Created: 2025-04-23T21:11:42Z Pushed: 2025-04-25T06:28:35Z Default branch: main Fork: no Archived: no README: [Training LLMs with MXFP4](https://arxiv.org/abs/2502.20586) [![preprint](https://img.shields.io/static/v1?label=arXiv&message=2405.03637&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2502.20586) [![License: MIT](https://img.shields.io/badge/License-Apache--2.0-green.svg)](https://opensource.org/licenses/Apache-2.0) Introduction This repo contains official implementation for Training LLMs with MXFP4. Our MXFP4 training recipe achieves near-lossless training by computing unbiased gradient estimates (with stochastic rounding and random Hadamard transformation) using MXFP4-accelerated GEMMs. This allows us compute the backward pass in MXFP4, which constitutes $>1/2$ of the FLOPs during training. We support training with [`NVIDIA/Megatron-LM`](https://github.com/NVIDIA/Megatron-LM/tree/main) and [`NVIDIA/TransformerEngine`](https://github.com/NVIDIA/TransformerEngine/tree/main). Due to lack of MXFP4 hardware..."}],"related_signals":[{"id":"087c32a2-6ad0-4981-9315-11fdd32a0153","url":"https://onlylabs.fyi/signals/087c32a2-6ad0-4981-9315-11fdd32a0153","source_url":"https://github.com/amazon-science/reskill","title":"amazon-science/reskill","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-06-04T02:13:35+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e5701aed-6cd3-48dd-bfa6-ef839031e2e8","url":"https://onlylabs.fyi/signals/e5701aed-6cd3-48dd-bfa6-ef839031e2e8","source_url":"https://github.com/amazon-science/dualkv-flash-attn-for-rl","title":"amazon-science/dualkv-flash-attn-for-rl","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-27T17:38:58+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"8af28f0c-7331-4b08-b517-e18b3555e503","url":"https://onlylabs.fyi/signals/8af28f0c-7331-4b08-b517-e18b3555e503","source_url":"https://github.com/amazon-science/EvoMAS","title":"amazon-science/EvoMAS","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-19T19:23:29+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e3ff8718-7daa-4ebd-a3e6-3d825c538b74","url":"https://onlylabs.fyi/signals/e3ff8718-7daa-4ebd-a3e6-3d825c538b74","source_url":"https://github.com/amazon-science/adaptive-layerwise-perturbation","title":"amazon-science/adaptive-layerwise-perturbation","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T17:44:17+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"9afcd328-0124-485c-8ace-9c3ad546e316","url":"https://onlylabs.fyi/signals/9afcd328-0124-485c-8ace-9c3ad546e316","source_url":"https://github.com/amazon-science/temporal-reasoning-dataset","title":"amazon-science/temporal-reasoning-dataset","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-13T13:07:08+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","url":"https://onlylabs.fyi/signals/e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","source_url":"https://github.com/amazon-science/PROF-GRPO","title":"amazon-science/PROF-GRPO","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-12T19:43:55+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"}]}