Our models trained to play chess (4B)
Princeton NLP group
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Recent Activity
upvoted a paper 3 days ago
Language Models that Play Chess and Explain Their Moves updated a model 4 days ago
princeton-nlp/queen_hce-4 updated a model 4 days ago
princeton-nlp/queen_pawn-8Organizations
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 • 444 • • 173 -
princeton-nlp/gemma-2-9b-it-DPO
Text Generation • 9B • Updated • 59 • • 9 -
princeton-nlp/Llama-3-Base-8B-SFT-IPO
Text Generation • 8B • Updated • 56 • • 1 -
princeton-nlp/Llama-3-Base-8B-SFT-DPO
Text Generation • 8B • Updated • 78 •
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 • 8.82k • • 7 -
princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
Text Generation • 8B • Updated • 8.64k • • 13 -
princeton-nlp/Llama-3-8B-ProLong-512k-Base
8B • Updated • 9.57k • 11 -
princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
8B • Updated • 8.35k • 26
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princeton-nlp/unsup-simcse-bert-base-uncased
Feature Extraction • Updated • 957 • 6 -
princeton-nlp/unsup-simcse-bert-large-uncased
Feature Extraction • Updated • 205 • 1 -
princeton-nlp/unsup-simcse-roberta-base
Feature Extraction • Updated • 7.27k • • 9 -
princeton-nlp/unsup-simcse-roberta-large
Feature Extraction • Updated • 773 • 3
Our models trained to play chess (4B)
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 • 444 • • 173 -
princeton-nlp/gemma-2-9b-it-DPO
Text Generation • 9B • Updated • 59 • • 9 -
princeton-nlp/Llama-3-Base-8B-SFT-IPO
Text Generation • 8B • Updated • 56 • • 1 -
princeton-nlp/Llama-3-Base-8B-SFT-DPO
Text Generation • 8B • Updated • 78 •
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 • 8.82k • • 7 -
princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
Text Generation • 8B • Updated • 8.64k • • 13 -
princeton-nlp/Llama-3-8B-ProLong-512k-Base
8B • Updated • 9.57k • 11 -
princeton-nlp/Llama-3-8B-ProLong-512k-Instruct
8B • Updated • 8.35k • 26
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princeton-nlp/unsup-simcse-bert-base-uncased
Feature Extraction • Updated • 957 • 6 -
princeton-nlp/unsup-simcse-bert-large-uncased
Feature Extraction • Updated • 205 • 1 -
princeton-nlp/unsup-simcse-roberta-base
Feature Extraction • Updated • 7.27k • • 9 -
princeton-nlp/unsup-simcse-roberta-large
Feature Extraction • Updated • 773 • 3