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Yuichi Tateno PRO
hotchpotch
AI & ML interests
Information Retrieval with LLMs
Recent Activity
updated a Space about 7 hours ago
hotchpotch/S1MB-leaderboard updated a dataset about 7 hours ago
hotchpotch/s1mb-result new activity about 7 hours ago
hotchpotch/s1mb-result:Remove duplicate Rune mirror and Eikos FP8 variant rowsOrganizations
Articles 5
Article
2
S1MB: comparing System One Decision Models across 100+ benchmarks
Compact multilingual embedding models with 8M and 25M active parameters, including pretrained checkpoints and retrieval-fine-tuned releases.
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hotchpotch/bekko-embedding-v1-a8m
Sentence Similarity • 0.1B • Updated • 7.62k • • 21 -
hotchpotch/bekko-embedding-v1-a25m
Sentence Similarity • 0.1B • Updated • 30k • • 32 -
bekko-embedding-web
🚀4Run ultra-compact multilingual embeddings in your browser.
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Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders
Paper • 2607.25180 • Published • 4
Ultra small system one models
Compact multilingual embedding models with 8M and 25M active parameters, including pretrained checkpoints and retrieval-fine-tuned releases.
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hotchpotch/bekko-embedding-v1-a8m
Sentence Similarity • 0.1B • Updated • 7.62k • • 21 -
hotchpotch/bekko-embedding-v1-a25m
Sentence Similarity • 0.1B • Updated • 30k • • 32 -
bekko-embedding-web
🚀4Run ultra-compact multilingual embeddings in your browser.
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Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders
Paper • 2607.25180 • Published • 4
spaces 8
Running
Featured
63
S1MB Leaderboard
📊
Compare System One models across 100+ specialized benchmarks
Running
6
Ultra-small System One Models in Your Browser
🐂
Answer Yes/No questions, choose options, and score inputs.
Running
4
bekko-embedding-web
🚀
Run ultra-compact multilingual embeddings in your browser.
Running
Agents
4
Open Provence Demo
✂
Context pruning demo for context engineering and RAG
Running
3
Japanese Splade Demo Streamlit
📉
Convert text to SPLADE token scores
Sleeping
TokenViz: AutoTokenizer Visualization Tool
🔍
Visualize the results of AutoTokenizer
models 59
hotchpotch/bekko-system-one-v0-400m
Updated • 11
hotchpotch/bekko-system-one-v0-68m
Updated • 2
hotchpotch/bekko-system-one-v0-17m
Updated • 12
hotchpotch/bekko-embedding-v1-a25m-GGUF
Feature Extraction • 0.1B • Updated • 226
hotchpotch/bekko-embedding-v1-a8m-GGUF
Feature Extraction • 0.1B • Updated • 138
hotchpotch/bekko-embedding-v1-a25m
Sentence Similarity • 0.1B • Updated • 30k • • 32
hotchpotch/bekko-embedding-v1-a8m
Sentence Similarity • 0.1B • Updated • 7.62k • • 21
hotchpotch/bekko-embedding-v1-a8m-pt
Sentence Similarity • 0.1B • Updated • 111 • 2
hotchpotch/bekko-embedding-v1-a25m-pt
Sentence Similarity • 0.1B • Updated • 101 • 1
hotchpotch/japanese-reranker-base-v2
Text Ranking • 0.1B • Updated • 3.21k • 8
datasets 72
hotchpotch/s1mb-result
Updated • 1.66k
hotchpotch/bekko-system-one-dataset-v0
Viewer • Updated • 6.61M • 901 • 4
hotchpotch/bekko-system-one-v0-decision-index-results
Updated • 934
hotchpotch/s1mb-dataset
Viewer • Updated • 14k • 2.18k • 1
hotchpotch/bekko-embedding-v1-unsupervised
Updated • 4.69k • 4
hotchpotch/bekko-embedding-hard-negatives
Updated • 33 • 1
hotchpotch/bekko-embedding-v1-hard-negatives
Viewer • Updated • 760k • 1.3k • 3
hotchpotch/wikipedia-synthetic-nli
Viewer • Updated • 5.81M • 9
hotchpotch/wikipedia-multilingual-ir-related-lead-pairs
Viewer • Updated • 34.1M • 55
hotchpotch/wikipedia-multilingual-ir-related-paragraph-pairs
Viewer • Updated • 19.6M • 94