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logical-reasoning / competition

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4bit RPP results
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more analysis
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completed Llama3-8b analysis
f74c0d2

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Update 13_Qwen2_7b_finetuning_l40.ipynb
d2b86f6

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lora to hub
797b95e

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clean up
8739f95

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improved eval_model()
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ready for tuning glm-4
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NV results
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M3 results
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eval glm-4 base model
26227a0

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rp1.5 results
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perf vs rpp
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perf vs rpp
ee6e663

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llama3 epoch 6 shows promising results; adding 4 epochs
16974cb

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Create 13_Qwen2_7b_finetuning_l40.ipynb
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Upload 2 files
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Delete competition/llama.py
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Delete competition/gemma-2-9b.py
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epoch 1 M3 results
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merged epoch 1 of internlm2_5-7b-chat-1m_sft_bf16_p2_full
16ec7f8

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epoch 6 merged model results
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eval merged model with NV4080
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eval with merged model
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Update competition/llama.py
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analysis of internlm/llama3
bc127a6

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Upload 2 files
c7a7b12
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Delete competition/Gemma-2-9b.ipynb
d071d21
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fixed bug for eval-mgtv-llama3_8b.sh
387046f

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final internlm 2.5 results
d176c35

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Update 10a_InternLM_h100_analysis.ipynb
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h100 results
df3521b

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created scripts/tune-mgtv.sh
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complete 4 epochs p1 bf16
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p1 bf16 epoch 4 results
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removed 4bit checkpoints to save space
e88a39b

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09_InterLM_finetuning_colab epoch 3 ready
eb52e90

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prep for tuning with P2
31cb217

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completed 08b_InternLM_analysis
2b7032e

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08a_InternLM_eval_NV4080 complete
a5837c1

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Upload Gemma-2-9b.ipynb
91b0adc
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nicoleathy commited on

finetuning internlm with P1 prompt
b5506da

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Update 00_Baseline.ipynb
7fea7f2

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analyzed baseline results from internlm/internlm2_5-7b-chat-1m
c7e8f2a

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nv4080 r2 results
ea3da5c

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T4 original prompt + bf16: best results
c8f289a

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refined English translations and Chinese prompt
c755e09

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InternLM 2.5 results
5002792

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llama-factory finetuning on Google Colab
36cb2cb

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Create 03_EDA_en.ipynb
9685567

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