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logical-reasoning

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ready for tuning qwen2.5-72b
de489ee

dh-mc commited on

llama3.1-70b 30-shot
f06a1e9

inflaton commited on

ready for qwen2.5-7b
37fb5b2

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Update logical_reasoning_utils.py
0c7b7f6

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ready for qwen2.5
d5ab5d2

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qwen2.5-3b 0-shot
06dfa32

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updated scripts
959d8cc

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Qwen2.5 fine-tuned
f584ea4

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tune qwen2.5
88d67f6

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o1-preview few-shots complete
6ff118c

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llama3.1-70b 20-shot
96f3c1e

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more o1 results
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more
489600e

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o1-min 50-shot
3c4359a

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mistral 5-shot
5158692

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counted few-shot prompts for all models
a8683cf

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o1-preview 20-shot
0baa6cc

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Update eval-mgtv-shots_4bit.sh
492d1d4

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log
fe51ea8

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o1-preview 5-shot
f2a583b

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o1-mini 5/20 shots results
9042941

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try 5-shot for open source models
d2150e8

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o1-preview 0-shot
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o1-mini 0-shot
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o1-preview 10-shot
6838eea

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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
3db2ae5

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logs/internlm2_5-20b-chat_tune_and_few_shots.txt
d8cfffb

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10-shot results
6bc1181

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internlm 20b results
47d6ce1

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0-shot notebook
5b276b0

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Create eval-mgtv-internlm-20b.sh
75c4663

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mistral 10-shot
33cd694

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rtx4090 0-shot
d028752

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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
5f9686b

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https://github.com/mazzzystar/TurtleBenchmark
444a581

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compare o1 vs gpt-4o
4cd13da

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o1-mini analyzed
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o1-mini results
fd14581

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LogiQA2.0 dataset
bf13772

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openai batch
921fa92

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Create 04e_OpenAI_comparison.ipynb
2bb5512

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internlm_v2 results
83818dc

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internlm2_5-7b-chat fine-tune results
e4bce5e

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added scripts/eval-mgtv-internlm_v2.sh
71dcee7

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Update 04_Few-shot_Prompting_OpenAI.ipynb
8e678e8

dh-mc commited on

ready for fine-tuning internlm2_5-20b-chat
62c2b84

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saved best results/metrics
573f5d1

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