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Author:
Dongfu Jiang
Summary:
LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths and weaknesses of multiple open-source large language models (LLMs). LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
Latest version:
0.0.2
Required dependencies:
accelerate
|
dataclasses-json
|
numpy
|
protobuf
|
safetensors
|
sentencepiece
|
torch
|
transformers
Optional dependencies:
bert-score
|
bitsandbytes
|
datasets
|
deepspeed
|
evaluate
|
fschat
|
jupyter
|
nltk
|
openai
|
peft
|
prettytable
|
pycocoevalcap
|
rouge-score
|
sacrebleu
|
scikit-learn
|
scipy
|
spacy
|
tabulate
|
wandb
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