-
CLEX: Continuous Length Extrapolation for Large Language Models
Paper • 2310.16450 • Published • 9 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 25 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 21
Juan Herrera
juampahc
AI & ML interests
None yet
Organizations
Collections
3
-
Transformers are Multi-State RNNs
Paper • 2401.06104 • Published • 36 -
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Paper • 2402.10644 • Published • 78 -
In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss
Paper • 2402.10790 • Published • 40 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602
models
8
juampahc/gliner_multi-v2.1-openvino
Token Classification
•
Updated
•
3
juampahc/gliner_multi-v2.1-onnx
Token Classification
•
Updated
•
6
juampahc/bge-m3-m2v-758
Sentence Similarity
•
Updated
•
1
juampahc/bge-m3-m2v-256
Sentence Similarity
•
Updated
•
18
•
1
juampahc/bge-m3-m2v-1024
Sentence Similarity
•
Updated
•
2
juampahc/bge-m3-baai-onnx
Sentence Similarity
•
Updated
•
3.12k
juampahc/bge-m3-baai-quant-opt
Sentence Similarity
•
Updated
•
206
juampahc/bge-m3-baai-quant
Sentence Similarity
•
Updated
•
1.15k
datasets
None public yet