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logical-reasoning

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Update eval-mgtv-llama3_8b.sh
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llama3 r2 config
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completed r2
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glm4 results
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clean up
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r2 epoch 3 results
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r2 epoch 3 results
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llama3 correct results
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llama3 p1 epoch1-3 correct template
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l40 results with correct template: intern2
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Update llm_utils.py
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internlm p2 r2
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Update mgtv-results_internlm_best.csv
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log file for acc: 0.787
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4bit RPP results
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Update mgtv-results_internlm_best.csv
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l40 fp32 v4.42 results
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try float32 for inference
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more analysis
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best eval LF
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glm-4 checkpoints
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glm-4 p2 epoch 4 results
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completed Llama3-8b analysis
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Update 13_Qwen2_7b_finetuning_l40.ipynb
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Merge branch 'main' of https://huggingface.co/spaces/smu-ai/logical-reasoning
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glm-4 p2 epoch 3
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lora to hub
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Create tune-mgtv-qwen2_7b.sh
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Update qwen2_7b_lora_sft_4bit.yaml
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glm-4 p2 epoch 2 results
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glm-4 p1 results
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glm-4 base p1 result
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Update requirements.txt
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clean up
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improved eval_model()
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llama3 results
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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
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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
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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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