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LLamaRecipes
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LLamaRecipes
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research
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long-context-llama
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H2O
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exp.sh

exp.sh 623 B
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  1. # CUDA_VISIBLE_DEVICES=$1 python -u generation.py \
    2. 

  2. # --input-path data/summarization/xsum.jsonl \
    3. 

  3. # --output-path summarization_output/xsum_baseline.jsonl \
    4. 

  4. # --model-name meta-llama/Llama-2-7b-hf 
    5. 

  5. # 20.46/4.9/15.11
    6. 

  6. 

  7. CUDA_VISIBLE_DEVICES=$1 python -u generation.py \
    8. 

  8. --input-path data/summarization/xsum.jsonl \
    9. 

  9. --output-path summarization_output/xsum_h2o.jsonl \
    10. 

  10. --model-name meta-llama/Llama-2-7b-hf \
    11. 

  11. --enable_h2o_generation 
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  12. 

  13. # CUDA_VISIBLE_DEVICES=$1 python -u generation.py \
    14. 

  14. # --input-path data/summarization/xsum.jsonl \
    15. 

  15. # --output-path summarization_output/xsum_h2o.jsonl \
    16. 

  16. # --model-name meta-llama/Llama-2-7b-hf
    17.