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logical-reasoning

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NV results
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M3 results
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eval glm-4 base model
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rp1.5 results
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llama3 p2 results
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llama3 p1 10 epochs
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perf vs rpp
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perf vs rpp
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llama3 epoch 6 shows promising results; adding 4 epochs
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llama3 eval results
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Delete qwen2_7b_lora_sft.yaml
641c88c

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Create 13_Qwen2_7b_finetuning_l40.ipynb
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Create qwen2_7b_lora_sft_4bit.yaml
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Update .env.qwen2_7b
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Create .env.qwen2_7b
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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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add env vars: MAX_NEW_TOKENS & REPETITION_PENALTY
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epoch 1 M3 results
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Update llm_utils.py
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merged epoch 1 of internlm2_5-7b-chat-1m_sft_bf16_p2_full
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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
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llama3 p2 results
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llama3 p2 epoch 1 results
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llama3 results
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new llama3 base results
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Upload 2 files
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nicoleathy commited on

Delete competition/Gemma-2-9b.ipynb
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fixed bug for eval-mgtv-llama3_8b.sh
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llama3 8b base model results
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switch llama3 version
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test_a predicted result
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working api/test
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creating openai compatible server
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added original code from: https://github.com/mgjinnn/TurtleSoupBaseline
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llama3 finetune config
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Update llama3-8b_lora_sft_bf16-p1.yaml
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llama3
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attempted gemma2
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gemma2
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updated logging/save/eval steps
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Update qwen2_72b_lora_sft_4bit-p1.yaml
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reduce b-->4
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reduce batch size to 8
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reduce batch size to 16
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