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logical-reasoning

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Update Qwen2.5-7B-Instruct_results.csv
45413ca

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7b 40-shot
b48fd62

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Update Qwen2.5-0.5B-Instruct_results.csv
c8b677c

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0.5/1.5/3b results
d94ae74

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7b
a36def6

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qwen2.5-1.5b
ceb9311

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qwen2.5-3b
e06d133

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qwen2.5 3/7b fine-tuned
bd723f9

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fix script
286c5d6

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Update Qwen2.5-3B-Instruct_results.csv
574ad95

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fix scripts
281682c

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qwen2.5-3b 30-shot
d9bccd7

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ready for tuning qwen2.5-72b
de489ee

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llama3.1-70b 30-shot
f06a1e9

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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
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more o1 results
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more
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o1-min 50-shot
3c4359a

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mistral 5-shot
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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
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o1-mini 5/20 shots results
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try 5-shot for open source models
d2150e8

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o1-preview 0-shot
545719f

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o1-mini 0-shot
16adfc9

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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
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internlm 20b results
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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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