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argilla-io
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notus
Notus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first approach
MIT License
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【question】are you planning to support multi language model?
#14
Yongtae723
closed
10 months ago
1
feat: add .ipynb for adding and updating models to `ollama`
#13
davidberenstein1957
opened
11 months ago
1
Run DPO step with multibinarized dataset
#12
dvsrepo
closed
10 months ago
1
Add Notus logo with Argilla watermark
#11
alvarobartt
closed
11 months ago
0
Warn about data contamination of UltraFeedback and add Notus naming explanation
#10
alvarobartt
closed
11 months ago
0
Major cleanup before release
#9
alvarobartt
closed
11 months ago
0
Adapt SFT fine-tuning script and configuration
#8
alvarobartt
closed
11 months ago
1
Curate UltraFeedack dataset's overall_score
#7
dvsrepo
opened
11 months ago
3
Add Intel Habana instructions and AlpacaEval results
#6
gabrielmbmb
closed
11 months ago
0
Run SFT step with the rating binarized data chosen responses
#5
dvsrepo
closed
11 months ago
1
Run `EleutherAI/lm-eval-harness` and upload results
#3
alvarobartt
closed
11 months ago
0
More experiments (full fine-tuning on 8 x A100 40GB)
#2
alvarobartt
closed
11 months ago
1
Evaluate using MT-Bench and AlpacaEval to compare with Zephyr 7B Beta
#1
alvarobartt
closed
11 months ago
0