The *RLMT* collection. Coming soon!
Princeton NLP group
princeton-nlp
AI & ML interests
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Recent Activity
updated a dataset 16 days ago
princeton-nlp/HELMET updated a dataset 24 days ago
princeton-nlp/HELMET upvoted a paper 6 months ago
VisGym: Diverse, Customizable, Scalable Environments for Multimodal AgentsOrganizations
SWE-bench is a benchmark for evaluating Language Models and AI Systems on their ability resolve real world GitHub Issues.
This collections contains a list of SimPO and baseline models.
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princeton-nlp/gemma-2-9b-it-SimPO
Text Generation • 9B • Updated • 430 • • 173 -
princeton-nlp/gemma-2-9b-it-DPO
Text Generation • 9B • Updated • 15 • • 9 -
princeton-nlp/Llama-3-Base-8B-SFT-IPO
Text Generation • 8B • Updated • 80 • • 1 -
princeton-nlp/Llama-3-Base-8B-SFT-DPO
Text Generation • 8B • Updated • 221 •
ProLong is a family of long-context models that are continued trained and supervised fine-tuned from Llama-3-8B, with a maximum context window of 512K
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princeton-nlp/Llama-3-8B-ProLong-64k-Base
Text Generation • 8B • Updated • 8.05k • • 6 -
princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
Text Generation • 8B • Updated • 9.46k • • 13 -
princeton-nlp/Llama-3-8B-ProLong-512k-Base
8B • Updated • 7.88k • 10 -
princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
8B • Updated • 8.17k • 26
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princeton-nlp/unsup-simcse-bert-base-uncased
Feature Extraction • Updated • 3.82k • • 6 -
princeton-nlp/unsup-simcse-bert-large-uncased
Feature Extraction • Updated • 86 • 1 -
princeton-nlp/unsup-simcse-roberta-base
Feature Extraction • Updated • 7.14k • • 9 -
princeton-nlp/unsup-simcse-roberta-large
Feature Extraction • Updated • 381 • 3
The *RLMT* collection. Coming soon!
This collections contains a list of SimPO and baseline models.
-
princeton-nlp/gemma-2-9b-it-SimPO
Text Generation • 9B • Updated • 430 • • 173 -
princeton-nlp/gemma-2-9b-it-DPO
Text Generation • 9B • Updated • 15 • • 9 -
princeton-nlp/Llama-3-Base-8B-SFT-IPO
Text Generation • 8B • Updated • 80 • • 1 -
princeton-nlp/Llama-3-Base-8B-SFT-DPO
Text Generation • 8B • Updated • 221 •
SWE-bench is a benchmark for evaluating Language Models and AI Systems on their ability resolve real world GitHub Issues.
ProLong is a family of long-context models that are continued trained and supervised fine-tuned from Llama-3-8B, with a maximum context window of 512K
-
princeton-nlp/Llama-3-8B-ProLong-64k-Base
Text Generation • 8B • Updated • 8.05k • • 6 -
princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
Text Generation • 8B • Updated • 9.46k • • 13 -
princeton-nlp/Llama-3-8B-ProLong-512k-Base
8B • Updated • 7.88k • 10 -
princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
8B • Updated • 8.17k • 26
-
princeton-nlp/unsup-simcse-bert-base-uncased
Feature Extraction • Updated • 3.82k • • 6 -
princeton-nlp/unsup-simcse-bert-large-uncased
Feature Extraction • Updated • 86 • 1 -
princeton-nlp/unsup-simcse-roberta-base
Feature Extraction • Updated • 7.14k • • 9 -
princeton-nlp/unsup-simcse-roberta-large
Feature Extraction • Updated • 381 • 3