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logical-reasoning / notebooks

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ready for tuning qwen2.5-72b
de489ee

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ready for qwen2.5-7b
37fb5b2

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ready for qwen2.5
d5ab5d2

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updated scripts
959d8cc

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o1-preview few-shots complete
6ff118c

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more o1 results
e7f34e0

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counted few-shot prompts for all models
a8683cf

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o1-preview 20-shot
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o1-preview 5-shot
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o1-mini 5/20 shots results
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try 5-shot for open source models
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o1-preview 0-shot
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o1-mini 0-shot
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o1-preview 10-shot
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ready to run 10-shots for 70/72B models
809e98c

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10-shot results ready for 7/8 B models
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0-shot notebook
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ready for few shots eval
cf912f1

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claude 0-shot
397a2fa

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added original data from MGTV challenge
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compare o1 vs gpt-4o
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o1-mini analyzed
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o1-mini results
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openai batch
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Create 04e_OpenAI_comparison.ipynb
2bb5512

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Update 04_Few-shot_Prompting_OpenAI.ipynb
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saved best results/metrics
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completed eval/analysis
468b88d

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openai zero-shot results
8b9bb19

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change BATCH_SIZE to 1 for qwen2-72b eval
4c31851

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open source LLM results almost done
5a8f8d2

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ready for eval
473e849

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ready for bf16 tuning
e656f92

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completed 08b_InternLM_analysis
2b7032e

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T4 original prompt + bf16: best results
c8f289a

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InternLM 2.5 7b 1m base model results
778bfcb

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llama-factory finetuning on Google Colab
36cb2cb

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updated notebooks/00_fine-tune-with-colab.ipynb
1323386

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ref code from novel-translation
6702142

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keep track of HT notebook
68936f4

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Update 00_fine-tune-with-colab.ipynb
3b4779f

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minor bug fix
25aea89

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initial code
6d1c39a

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