hulehule/pandada
By hulehule · ↓ 0 · ♥ 0 · Updated 2025-12-12
What's in this repo
This page lists the files in hulehule/pandada, including model.onnx and more.
- 4 ONNX models (.onnx files)
- 1051 files, including 562 .json, 259 .py, 130 .pt, 36 .parquet, 32 .md, 14 .txt
- Last updated 2025-12-12
ONNX files
| File | Size | Download |
|---|---|---|
| Recommend/bge-base-en-v1.5/onnx/model.onnx | — | Download |
| bge-base-en-v1.5/onnx/model.onnx | — | Download |
| pandada/Recommend/bge-base-en-v1.5/onnx/model.onnx | — | Download |
| pandada/bge-base-en-v1.5/onnx/model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
这是Q4个性化新项目PPD：Personalized prompt DPO
每次更新完代码一定注意git提交！
-
安装依赖 pip install -r requirements.txt
-
下载数据 python dataset/lamp_downloader.py --task 4 --task 5 --task 7 python dataset/longlamp_downloader.py
-
用BGE生成embedding
python3 - << 'EOF' from huggingface_hub import snapshot_download
snapshot_download( repo_id="BAAI/bge-base-en-v1.5", local_dir="./bge-base-en-v1.5", local_dir_use_symlinks=False ) EOF
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python embedding.py
- 运行GPU压力测试 python gpu_utils/gpu_stress.py --target_utilization 0.5 --num_gpus 4
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
python /opt/tiger/PPD/inference/RAG_bm25_qwen_lamp5_concise.py
--questions_file /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/dev_questions.json
--outputs_file /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/dev_outputs.json
--output_file /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/predictions_qwen3_zero_shot_concise.json
--model_name Qwen/Qwen3-8B
--device cuda
--torch_dtype bfloat16
--max_new_tokens 128
--batch_size 64
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
python /opt/tiger/PPD/inference/zero_shot_qwen_lamp5_concise.py
--questions_file /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/dev_questions.json
--outputs_file /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/dev_outputs.json
--output_file /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/zero_shot_qwen3_concise.json
--model_name Qwen/Qwen3-8B
--device cuda
--torch_dtype bfloat16
--max_new_tokens 128
--batch_size 64
CUDA_VISIBLE_DEVICES= 7
python /opt/tiger/PPD/inference/RAG_bm25_qwen_lamp5_concise.py
--questions_file /opt/tiger/PPD/data/lamp/LaMP_5/user/train/train_questions.json
--outputs_file /opt/tiger/PPD/data/lamp/LaMP_5/user/train/train_outputs.json
--output_file /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/RAG_qwen3_concise.json
--model_name Qwen/Qwen3-8B
--device cuda
--torch_dtype bfloat16
--max_new_tokens 128
--batch_size 64
/opt/tiger/PPD/data/lamp/LaMP_5/user/dev/predictions_qwen3_zero_shot_comdy.json
python3 -c "import nltk; nltk.download('wordnet'); nltk.download('omw-1.4')"
CUDA_VISIBLE_DEVICES=0,1,2,3
accelerate launch
--num_processes 4
--mixed_precision bf16
--main_process_port 0
/opt/tiger/PPD/DPO/train_dpo_qwen3_lamp5_gt_vs_pred.py
--model_name Qwen/Qwen3-8B
--cleaned_file ./cleaned_predictions.json
--output_dir ./qwen3_lamp5_dpo_gt_vs_pred
--per_device_train_batch_size 1
--gradient_accumulation_steps 16
--learning_rate 5e-6
--num_train_epochs 1
--beta 0.1
--max_length 128
--max_prompt_length 256
/opt/tiger/PPD/data/lamp/LaMP_5/user/dev/predictions_qwen3_zero_shot_comdy.json
python clean_and_score.py
--input /opt/tiger/PPD/data/lamp/LaMP_5/user/dev/predictions_qwen3_zero_shot_direct.json
--output cleaned_predictions_predictions_qwen3_zero_shot.json
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python /opt/tiger/PPD/inference/LaMP_2/zero_shot_qwen_lamp2.py --questions_file /opt/tiger/PPD/data/lamp/LaMP_2/user/dev/dev_questions.json --outputs_file /opt/tiger/PPD/data/lamp/LaMP_2/user/dev/dev_outputs.json --output_file /opt/tiger/PPD/data/lamp/LaMP_2/user/dev/qwen3_zero_shot_chat.json --batch_size 64
CUDA_VISIBLE_DEVICES=1,2,3,4,5,6,7 python 10hours.py
Model info
onnx
safetensors
region:us
↓ 0
♥ 0
Created: 2025-12-07
Updated: 2025-12-12
View on Hugging FaceFiles (1051)
.gitattributes
10hours.py
LongLaMP_data/abstract_generation_user/test/test-00000-of-00002.parquet
LongLaMP_data/abstract_generation_user/test/test-00001-of-00002.parquet
LongLaMP_data/abstract_generation_user/train/train-00000-of-00004.parquet
LongLaMP_data/abstract_generation_user/train/train-00001-of-00004.parquet
LongLaMP_data/abstract_generation_user/train/train-00002-of-00004.parquet
LongLaMP_data/abstract_generation_user/train/train-00003-of-00004.parquet
LongLaMP_data/abstract_generation_user/val/val-00000-of-00002.parquet
LongLaMP_data/abstract_generation_user/val/val-00001-of-00002.parquet
LongLaMP_data/product_review_user/test/test-00000-of-00001.parquet
LongLaMP_data/product_review_user/train/train-00000-of-00003.parquet
LongLaMP_data/product_review_user/train/train-00001-of-00003.parquet
LongLaMP_data/product_review_user/train/train-00002-of-00003.parquet
LongLaMP_data/product_review_user/val/val-00000-of-00001.parquet
LongLaMP_data/topic_writing_user/test/test-00000-of-00001.parquet
LongLaMP_data/topic_writing_user/train/train-00000-of-00003.parquet
LongLaMP_data/topic_writing_user/train/train-00001-of-00003.parquet
LongLaMP_data/topic_writing_user/train/train-00002-of-00003.parquet
LongLaMP_data/topic_writing_user/val/val-00000-of-00001.parquet
LongLaMP_json/abstract_generation_user/test/test_outputs.json
LongLaMP_json/abstract_generation_user/test/test_questions.json
LongLaMP_json/abstract_generation_user/train/train_outputs.json
LongLaMP_json/abstract_generation_user/train/train_questions.json
LongLaMP_json/abstract_generation_user/val/val_outputs.json
LongLaMP_json/abstract_generation_user/val/val_questions.json
LongLaMP_json/product_review_user/test/test_outputs.json
LongLaMP_json/product_review_user/test/test_questions.json
LongLaMP_json/product_review_user/train/train_outputs.json
LongLaMP_json/product_review_user/train/train_questions.json
LongLaMP_json/product_review_user/val/val_outputs.json
LongLaMP_json/product_review_user/val/val_questions.json
LongLaMP_json/tmp/abstract_generation_user/test/test-00000-of-00002.parquet
LongLaMP_json/tmp/abstract_generation_user/test/test-00001-of-00002.parquet
LongLaMP_json/tmp/abstract_generation_user/train/train-00000-of-00004.parquet
LongLaMP_json/tmp/abstract_generation_user/train/train-00001-of-00004.parquet
LongLaMP_json/tmp/abstract_generation_user/train/train-00002-of-00004.parquet
LongLaMP_json/tmp/abstract_generation_user/train/train-00003-of-00004.parquet
LongLaMP_json/tmp/abstract_generation_user/val/val-00000-of-00002.parquet
LongLaMP_json/tmp/abstract_generation_user/val/val-00001-of-00002.parquet
LongLaMP_json/tmp/product_review_user/test/test-00000-of-00001.parquet
LongLaMP_json/tmp/product_review_user/train/train-00000-of-00003.parquet
LongLaMP_json/tmp/product_review_user/train/train-00001-of-00003.parquet
LongLaMP_json/tmp/product_review_user/train/train-00002-of-00003.parquet
LongLaMP_json/tmp/product_review_user/val/val-00000-of-00001.parquet
LongLaMP_json/tmp/topic_writing_user/test/test-00000-of-00001.parquet
LongLaMP_json/tmp/topic_writing_user/train/train-00000-of-00003.parquet
LongLaMP_json/tmp/topic_writing_user/train/train-00001-of-00003.parquet
LongLaMP_json/tmp/topic_writing_user/train/train-00002-of-00003.parquet
LongLaMP_json/tmp/topic_writing_user/val/val-00000-of-00001.parquet
LongLaMP_json/topic_writing_user/test/test_outputs.json
LongLaMP_json/topic_writing_user/test/test_questions.json
LongLaMP_json/topic_writing_user/train/train_outputs.json
LongLaMP_json/topic_writing_user/train/train_questions.json
LongLaMP_json/topic_writing_user/val/val_outputs.json
LongLaMP_json/topic_writing_user/val/val_questions.json
PAG.py
README.md
Recommend/10hours.py
Recommend/PAG.py
Recommend/README.md
Recommend/bge-base-en-v1.5/.gitattributes
Recommend/bge-base-en-v1.5/1_Pooling/config.json
Recommend/bge-base-en-v1.5/README.md
Recommend/bge-base-en-v1.5/config.json
Recommend/bge-base-en-v1.5/config_sentence_transformers.json
Recommend/bge-base-en-v1.5/model.safetensors
Recommend/bge-base-en-v1.5/modules.json
Recommend/bge-base-en-v1.5/onnx/model.onnx
ONNX
Recommend/bge-base-en-v1.5/pytorch_model.bin
Recommend/bge-base-en-v1.5/sentence_bert_config.json
Recommend/bge-base-en-v1.5/special_tokens_map.json
Recommend/bge-base-en-v1.5/tokenizer.json
Recommend/bge-base-en-v1.5/tokenizer_config.json
Recommend/bge-base-en-v1.5/vocab.txt
Recommend/check_adapter_training.py
Recommend/ckpt_qwen3_pag_lamp_1/adapter_epoch1.pt
Recommend/clean_and_eval_lamp2.py
Recommend/clean_and_f1.py
Recommend/clean_and_mae_rmse.py
Recommend/clean_and_score.py
Recommend/clean_gpu.py
Recommend/cleaned_predictions_lamp1.json
Recommend/cleaned_predictions_lamp1_train.json
Recommend/cleaned_predictions_lamp1_train_dpo.json
Recommend/cleaned_predictions_lamp3_dev.json
Recommend/cleaned_predictions_lamp3_dev_mae_rmse.json
Recommend/cleaned_predictions_lamp3_train_dpo.json
Recommend/data/lamp/LaMP_1/user/dev/dev_outputs.json
Recommend/data/lamp/LaMP_1/user/dev/dev_questions.json
Recommend/data/lamp/LaMP_1/user/dev/pag_profiles_vllm_dev_lamp1.json
Recommend/data/lamp/LaMP_1/user/test/test_questions.json
Recommend/data/lamp/LaMP_1/user/train/pag_profiles_vllm_train_lamp1.json
Recommend/data/lamp/LaMP_1/user/train/qwen3_zero_shot_train_lamp1.json
Recommend/data/lamp/LaMP_1/user/train/train_outputs.json
Recommend/data/lamp/LaMP_1/user/train/train_questions.json
Recommend/data/lamp/LaMP_2/user/dev/dev_outputs.json
Recommend/data/lamp/LaMP_2/user/dev/dev_questions.json
Recommend/data/lamp/LaMP_2/user/test/test_questions.json
Recommend/data/lamp/LaMP_2/user/train/train_outputs.json
Recommend/data/lamp/LaMP_2/user/train/train_questions.json
Recommend/data/lamp/LaMP_3/user/dev/dev_outputs.json
Recommend/data/lamp/LaMP_3/user/dev/dev_questions.json
Recommend/data/lamp/LaMP_3/user/dev/pag_profiles_vllm_dev_lamp3.json
Recommend/data/lamp/LaMP_3/user/dev/qwen3_zero_shot_dev_lamp3.json
Recommend/data/lamp/LaMP_3/user/test/test_questions.json
Recommend/data/lamp/LaMP_3/user/train/pag_profiles_vllm_train_lamp3.json
Recommend/data/lamp/LaMP_3/user/train/qwen3_zero_shot_train_lamp3.json
Recommend/data/lamp/LaMP_3/user/train/train_outputs.json
Recommend/data/lamp/LaMP_3/user/train/train_questions.json
Recommend/dataset/downloader_readme.md
Recommend/dataset/lamp_downloader.py
Recommend/dataset/lamp_downloader_123.py
Recommend/dataset/processing.py
Recommend/dpo_model/dpo_instructions.md
Recommend/dpo_model/dpo_plug.py
Recommend/dpo_model/dpo_train.py
Recommend/dpo_model/embedding.py
Recommend/dpo_model/training.md
Recommend/dpo_model/utils.py
Recommend/embedding.py
Recommend/eval_f1_acc.py
Recommend/eval_lamp2_classification.py
Recommend/evaluate_lamp1_f1_acc.py
Recommend/evaluation/evaluate_longlamp.py
Recommend/evaluation/rouge_lamp.py
Recommend/final_clean.py
Recommend/generate_pag_profiles_lamp5_vllm.py
Recommend/gpu_utils/gpu_stress.py
Recommend/inference/LaMP_1/generate_pag_profiles_lamp1_vllm.py
Recommend/inference/LaMP_1/inference_pagplug_greedy.py
Recommend/inference/LaMP_1/train_dpo_pagplug_old.py
Recommend/inference/LaMP_1/zero_shot_qwen_lamp1.py
Recommend/inference/LaMP_2/generate_pag_profiles_lamp2_vllm.py
Recommend/inference/LaMP_2/inference_pagplug_greedy.py
Recommend/inference/LaMP_2/train_dpo_pagplug_old.py
Recommend/inference/LaMP_2/zero_shot_qwen_lamp2.py
Recommend/inference/LaMP_3/generate_pag_profiles_lamp3_vllm.py
Recommend/inference/LaMP_3/inference_pagplug_greedy.py
Recommend/inference/LaMP_3/train_dpo_pagplug_old.py
Recommend/inference/LaMP_3/zero_shot_qwen_lamp3.py
Recommend/inference/LaMP_4/clean_and_eval_lamp4.py
Recommend/inference/LaMP_4/generate_pag_profiles_lamp4_vllm.py
Recommend/inference/LaMP_4/zero_shot_qwen_lamp4.py
Recommend/inference/LaMP_7/generate_pag_profiles_lamp7_vllm.py
Recommend/inference/LaMP_7/inference_pagplug_greedy.py
Recommend/inference/LaMP_7/preprocess_pag_embeddings.py
Recommend/inference/LaMP_7/train_dpo_pagplug_old.py
Recommend/inference/LaMP_7/zero_shot_qwen_lamp7.py
Recommend/inference/RAG_bm25_qwen_lamp5.py
Recommend/inference/RAG_bm25_qwen_lamp5_comdy.py
Recommend/inference/RAG_bm25_qwen_lamp5_concise.py
Recommend/inference/RAG_retriever_qwen_lamp5.py
Recommend/inference/inference_readme.md
Recommend/inference/rag_Qwen.py
Recommend/inference/zero_shot_Qwen.py
Recommend/inference/zero_shot_qwen_lamp5.py
Recommend/inference/zero_shot_qwen_lamp5_comdy.py
Recommend/inference/zero_shot_qwen_lamp5_concise.py
Recommend/inference_pagplug_debug.py
Recommend/inference_pagplug_greedy.py
Recommend/inference_pagplug_improved.py
Recommend/inspect_lamp_outputs.py
Recommend/instructions.md
Recommend/pag_embeddings_dev_lamp1.pt
Recommend/pag_embeddings_dev_lamp3.pt
Recommend/pag_embeddings_train_lamp1.pt
Recommend/pag_embeddings_train_lamp3.pt
Recommend/preprocess_pag_embeddings.py
Recommend/progress.md
Recommend/requirements.txt
Recommend/results_lamp1.json
Recommend/train_dpo_pagplug.py
Recommend/train_dpo_pagplug_new.py
Recommend/train_dpo_pagplug_old.py
Recommend/upload_to_hf.py
Recommend/upload_to_hf_split.py
all_results.txt
bge-base-en-v1.5/.gitattributes
bge-base-en-v1.5/1_Pooling/config.json
bge-base-en-v1.5/README.md
bge-base-en-v1.5/config.json
bge-base-en-v1.5/config_sentence_transformers.json
bge-base-en-v1.5/model.safetensors
bge-base-en-v1.5/modules.json
bge-base-en-v1.5/onnx/model.onnx
ONNX
bge-base-en-v1.5/pytorch_model.bin
bge-base-en-v1.5/sentence_bert_config.json
bge-base-en-v1.5/special_tokens_map.json
bge-base-en-v1.5/tokenizer.json
bge-base-en-v1.5/tokenizer_config.json
bge-base-en-v1.5/vocab.txt
check_adapter_training.py
ckpt_qwen3_pag_lamp_4_32b/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_4_32b/adapter_epoch2.pt
ckpt_qwen3_pag_lamp_4_32b/adapter_epoch3.pt
ckpt_qwen3_pag_lamp_4_32b/adapter_final.pt
ckpt_qwen3_pag_lamp_4_4b/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_4_concise/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_4_critical/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_4_reflective/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_4_warm/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_5/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_5_32b/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_5_32b/adapter_epoch2.pt
ckpt_qwen3_pag_lamp_5_32b/adapter_epoch3.pt
ckpt_qwen3_pag_lamp_5_32b/adapter_final.pt
ckpt_qwen3_pag_lamp_5_4b/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_5_4b/adapter_epoch2.pt
ckpt_qwen3_pag_lamp_5_4b/adapter_epoch3.pt
ckpt_qwen3_pag_lamp_5_4b/adapter_final.pt
ckpt_qwen3_pag_lamp_5_concise/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_5_critical/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_5_reflective/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_5_warm/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_7_32b/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_7_32b/adapter_epoch2.pt
ckpt_qwen3_pag_lamp_7_32b/adapter_epoch3.pt
ckpt_qwen3_pag_lamp_7_32b/adapter_final.pt
ckpt_qwen3_pag_lamp_7_4b/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_7_4b/adapter_epoch2.pt
ckpt_qwen3_pag_lamp_7_4b/adapter_epoch3.pt
ckpt_qwen3_pag_lamp_7_4b/adapter_final.pt
ckpt_qwen3_pag_lamp_7_comedy/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_7_concise/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_7_critical/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_7_critical/adapter_epoch2.pt
ckpt_qwen3_pag_lamp_7_critical/adapter_epoch3.pt
ckpt_qwen3_pag_lamp_7_critical/adapter_final.pt
ckpt_qwen3_pag_lamp_7_reflective/adapter_epoch1.pt
ckpt_qwen3_pag_lamp_7_reflective/adapter_epoch2.pt
ckpt_qwen3_pag_lamp_7_reflective/adapter_epoch3.pt
ckpt_qwen3_pag_lamp_7_reflective/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_4/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_4/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_4/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_4/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_4_concise/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_4_concise/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_4_concise/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_4_concise/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_4_critical/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_4_critical/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_4_critical/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_4_critical/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_4_reflective/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_4_reflective/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_4_reflective/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_4_reflective/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_4_warm/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_4_warm/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_4_warm/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_4_warm/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_5/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_5/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_5/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_5/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_5_concise/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_5_concise/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_5_concise/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_5_concise/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_5_critical/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_5_critical/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_5_critical/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_5_critical/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_5_reflective/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_5_reflective/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_5_reflective/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_5_reflective/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_5_warm/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_5_warm/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_5_warm/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_5_warm/adapter_final.pt
ckpt_qwen3_pag_sft_lamp_7/adapter_epoch1.pt
ckpt_qwen3_pag_sft_lamp_7/adapter_epoch2.pt
ckpt_qwen3_pag_sft_lamp_7/adapter_epoch3.pt
ckpt_qwen3_pag_sft_lamp_7/adapter_final.pt
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pandada/bge-base-en-v1.5/.gitattributes
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pandada/bge-base-en-v1.5/README.md
pandada/bge-base-en-v1.5/config.json
pandada/bge-base-en-v1.5/config_sentence_transformers.json
pandada/bge-base-en-v1.5/model.safetensors
pandada/bge-base-en-v1.5/modules.json
pandada/bge-base-en-v1.5/onnx/model.onnx
ONNX
pandada/bge-base-en-v1.5/pytorch_model.bin
pandada/bge-base-en-v1.5/sentence_bert_config.json
pandada/bge-base-en-v1.5/special_tokens_map.json
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pandada/bge-base-en-v1.5/vocab.txt
pandada/check_adapter_training.py
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pandada/dataset/downloader_readme.md
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pandada/first_50/qwen3_zero_shot_dev_lamp7_reflective.json
pandada/first_50/qwen3_zero_shot_lamp7.json
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pandada/inference/LaMP_4/generate_pag_profiles_lamp4_vllm.py
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pandada/inference/LaMP_4/train_dpo_pagplug_old.py
pandada/inference/LaMP_4/train_sft_pagplug.py
pandada/inference/LaMP_4/zero_shot_qwen_lamp4.py
pandada/inference/LaMP_5/generate_pag_profiles_lamp5_vllm.py
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pandada/inference/LaMP_7/zero_shot_qwen_lamp7.py
pandada/inference/RAG_bm25_qwen_lamp4.py
pandada/inference/RAG_bm25_qwen_lamp5.py
pandada/inference/RAG_bm25_qwen_lamp5_comdy.py
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pandada/inference/RAG_bm25_qwen_lamp7.py
pandada/inference/RAG_retriever_qwen_lamp5.py
pandada/inference/inference_readme.md
pandada/inference/rag_Qwen.py
pandada/inference/zero_shot_Qwen.py
pandada/inference/zero_shot_qwen_lamp5.py
pandada/inference/zero_shot_qwen_lamp5_comdy.py
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pandada/inference_pagplug_debug.py
pandada/inference_pagplug_greedy.py
pandada/inference_pagplug_improved.py
pandada/inspect_lamp_outputs.py
pandada/instructions.md
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pandada/judge_multi_style_results_with_reason.txt
pandada/judge_multi_style_results_zero_shot.txt
pandada/lamp4_style_and_personalization_scores.txt
pandada/pag_embeddings_dev_lamp7.pt
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pandada/progress.md
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pandada/style_zero_shot_chat/lamp7_dev_25_warm_humorous_qwen3_8b_chat copy.json
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progress.md
requirements.txt
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results_lamp4_sft_temp_1600.json
results_lamp4_sft_temp_800.json
results_lamp4_sft_warm.json
results_lamp4_sft_warm_temp_1600.json
results_lamp4_sft_warm_temp_800.json
results_lamp5.json
results_lamp5_32b.json
results_lamp5_32b_temp_1000.json
results_lamp5_32b_temp_1200.json
results_lamp5_32b_temp_1400.json
results_lamp5_32b_temp_1600.json
results_lamp5_32b_temp_1800.json
results_lamp5_32b_temp_200.json
results_lamp5_32b_temp_2000.json
results_lamp5_32b_temp_2200.json
results_lamp5_32b_temp_2400.json
results_lamp5_32b_temp_2500.json
results_lamp5_32b_temp_400.json
results_lamp5_32b_temp_600.json
results_lamp5_32b_temp_800.json
results_lamp5_4b.json
results_lamp5_4b_temp_1000.json
results_lamp5_4b_temp_1200.json
results_lamp5_4b_temp_1400.json
results_lamp5_4b_temp_1600.json
results_lamp5_4b_temp_1800.json
results_lamp5_4b_temp_200.json
results_lamp5_4b_temp_2000.json
results_lamp5_4b_temp_2200.json
results_lamp5_4b_temp_2400.json
results_lamp5_4b_temp_2500.json
results_lamp5_4b_temp_400.json
results_lamp5_4b_temp_600.json
results_lamp5_4b_temp_800.json
results_lamp5_concise.json
results_lamp5_concise_0.2.json
results_lamp5_concise_0.5.json
results_lamp5_concise_2.json
results_lamp5_concise_5.json
results_lamp5_critical.json
results_lamp5_critical_0.2.json
results_lamp5_critical_0.5.json
results_lamp5_critical_2.json
results_lamp5_critical_5.json
results_lamp5_reflective.json
results_lamp5_reflective_0.2.json
results_lamp5_reflective_0.5.json
results_lamp5_reflective_2.json
results_lamp5_reflective_5.json
results_lamp5_sft.json
results_lamp5_sft_concise.json
results_lamp5_sft_critical.json
results_lamp5_sft_reflective.json
results_lamp5_sft_warm.json
results_lamp5_warm.json
results_lamp5_warm_0.2.json
results_lamp5_warm_0.5.json
results_lamp5_warm_2.json
results_lamp5_warm_5.json
results_lamp7_32b.json
results_lamp7_32b_temp_1000.json
results_lamp7_32b_temp_1200.json
results_lamp7_32b_temp_1400.json
results_lamp7_32b_temp_1500.json
results_lamp7_32b_temp_200.json
results_lamp7_32b_temp_400.json
results_lamp7_32b_temp_600.json
results_lamp7_32b_temp_800.json
results_lamp7_4b.json
results_lamp7_4b_temp_1000.json
results_lamp7_4b_temp_1200.json
results_lamp7_4b_temp_1400.json
results_lamp7_4b_temp_1500.json
results_lamp7_4b_temp_200.json
results_lamp7_4b_temp_400.json
results_lamp7_4b_temp_600.json
results_lamp7_4b_temp_800.json
results_lamp7_comedy_5.json
results_lamp7_concise_5.json
results_lamp7_critical_5.json
results_lamp7_reflective_5.json
score_longlamp_text.py
test.py
train_dpo_pagplug.py
train_dpo_pagplug_new.py
train_dpo_pagplug_old.py
upload_to_hf.py
upload_to_hf_split.py
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