apple/LensVLM-9B
Image-Text-to-Text • 9B • Updated • 1.43k • 224
Yuichi Tateno PRO
hotchpotch
AI & ML interests
Information Retrieval with LLMs
Recent Activity
liked a model 2 days ago
apple/LensVLM-9B upvoted an article 3 days ago
tokenizers v1: encode, decode and scaling, measured liked a model 4 days ago
convaiinnovations/layaOrganizations
liked a
model 2 days ago
upvoted an article 3 days ago
Article
tokenizers v1: encode, decode and scaling, measured
- +2
ArthurZ, sbrandeis, mcpotato, lysandre
• • 75 liked 2
models 4 days ago
liked a
model 6 days ago
published an article 7 days ago
Article
Introducing jev-reranker: Reranking and Relevance Filtering for RAG
hotchpotch
• • 7 updated a
Space 9 days ago
updated a
dataset 9 days ago
Add potion-multilingual-128M full benchmark results
#42 opened 9 days ago
by 
hotchpotch
Rename Bekko static model and add FP16 inference results
#41 opened 13 days ago
by hotchpotch
Replace Bekko static multilingual results with FP16-storage reevaluation
#40 opened 13 days ago
by hotchpotch
Add results for litillabs/litil-colbert-300m-v1
2
#39 opened 13 days ago
by 
narcolepticchicken
Add results for sbintuitions/sarashina-embedding-v2-1b
1
#21 opened 2 months ago
by hotchpotch
Add NanoSSRB results for 80 entries
1
#31 opened about 2 months ago
by hotchpotch
upvoted an article 23 days ago
Article
Training a coding model to paint watercolours with TRL and OpenEnv
sergiopaniego
• • 72 Add results for hotchpotch/bekko-static-embedding-multilingual-v1
#37 opened 28 days ago
by hotchpotch
upvoted an article about 1 month ago
Article
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
tomaarsen
• • 144 Add results for microsoft/harrier-oss-v1-27b
#36 opened about 1 month ago
by hotchpotch
upvoted an article about 1 month ago
Article
Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers
- +1
tomaarsen, NohTow, raphaelsty
• • 117 commented on mLateOn: A New SoTA for Multilingual ColBERT-Style Retrieval, Evaluated on HAKARI-Bench about 1 month ago
Thank you, @paulomouraj , and everyone at LightOn, for building such a great model! I really enjoyed evaluating mLateOn and was genuinely impressed by the results.