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qwen2.5 3/7b fine-tuned
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- llama-factory/config/models/Qwen2.5-3B-Instruct.yaml +43 -0
- llama-factory/config/models/Qwen2.5-7B-Instruct.yaml +43 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/README.md +73 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/adapter_config.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/adapter_model.safetensors +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/added_tokens.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/all_results.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/README.md +202 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/adapter_config.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/adapter_model.safetensors +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/added_tokens.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/merges.txt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/optimizer.pt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/rng_state.pth +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/scheduler.pt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/special_tokens_map.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/tokenizer.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/tokenizer_config.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/trainer_state.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/training_args.bin +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/vocab.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/README.md +202 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/adapter_config.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/adapter_model.safetensors +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/added_tokens.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/merges.txt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/optimizer.pt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/rng_state.pth +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/scheduler.pt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/special_tokens_map.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/tokenizer.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/tokenizer_config.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/trainer_state.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/training_args.bin +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/vocab.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/README.md +202 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/adapter_config.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/adapter_model.safetensors +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/added_tokens.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/merges.txt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/optimizer.pt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/rng_state.pth +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/scheduler.pt +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/special_tokens_map.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/tokenizer.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/tokenizer_config.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/trainer_state.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/training_args.bin +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/vocab.json +3 -0
- llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-210/README.md +202 -0
llama-factory/config/models/Qwen2.5-3B-Instruct.yaml
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### model
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model_name_or_path: Qwen/Qwen2.5-3B-Instruct
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### method
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stage: sft
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do_train: true
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finetuning_type: lora
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lora_target: all
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### dataset
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dataset: alpaca_mgtv_p2
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template: qwen
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cutoff_len: 8192
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max_samples: 25000
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overwrite_cache: true
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preprocessing_num_workers: 16
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### output
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output_dir: saves/Qwen2.5-3B-Instruct
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logging_steps: 5
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save_steps: 35
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plot_loss: true
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# overwrite_output_dir: true
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### train
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per_device_train_batch_size: 16
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gradient_accumulation_steps: 8
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learning_rate: 1.0e-4
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num_train_epochs: 2.0
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lr_scheduler_type: cosine
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warmup_ratio: 0.1
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bf16: true
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ddp_timeout: 180000000
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### eval
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val_size: 0.1
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per_device_eval_batch_size: 1
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eval_strategy: steps
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eval_steps: 35
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# report_to: wandb
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report_to: none
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run_name: Qwen2.5-3B-Instruct_lora_sft
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llama-factory/config/models/Qwen2.5-7B-Instruct.yaml
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### model
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model_name_or_path: Qwen/Qwen2.5-7B-Instruct
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### method
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stage: sft
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do_train: true
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finetuning_type: lora
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lora_target: all
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### dataset
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dataset: alpaca_mgtv_p2
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template: qwen
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cutoff_len: 8192
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max_samples: 25000
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overwrite_cache: true
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preprocessing_num_workers: 16
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### output
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output_dir: saves/Qwen2.5-7B-Instruct
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logging_steps: 5
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save_steps: 35
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plot_loss: true
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# overwrite_output_dir: true
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### train
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per_device_train_batch_size: 16
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gradient_accumulation_steps: 8
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learning_rate: 1.0e-4
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num_train_epochs: 2.0
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lr_scheduler_type: cosine
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warmup_ratio: 0.1
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bf16: true
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ddp_timeout: 180000000
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### eval
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val_size: 0.1
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per_device_eval_batch_size: 1
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eval_strategy: steps
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eval_steps: 35
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# report_to: wandb
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report_to: none
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run_name: Qwen2.5-7B-Instruct_lora_sft
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llama-factory/saves/Qwen2.5-3B-Instruct/README.md
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---
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license: other
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library_name: peft
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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base_model: Qwen/Qwen2.5-3B-Instruct
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model-index:
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- name: Qwen2.5-3B-Instruct
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Qwen2.5-3B-Instruct
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This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the alpaca_mgtv_p2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2272
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.3533 | 0.1990 | 35 | 0.3218 |
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| 0.2926 | 0.3980 | 70 | 0.2747 |
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| 0.277 | 0.5970 | 105 | 0.2519 |
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| 0.2691 | 0.7960 | 140 | 0.2480 |
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| 0.2597 | 0.9950 | 175 | 0.2401 |
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| 0.2218 | 1.1940 | 210 | 0.2376 |
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| 0.2594 | 1.3930 | 245 | 0.2271 |
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| 0.2232 | 1.5920 | 280 | 0.2287 |
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| 0.2145 | 1.7910 | 315 | 0.2291 |
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| 0.2284 | 1.9900 | 350 | 0.2272 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.43.3
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- Pytorch 2.4.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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llama-factory/saves/Qwen2.5-3B-Instruct/adapter_config.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:84d680391ed23a325a2b7e6b51a17eb4dcb88cf61df37394e05b692c992356ca
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size 725
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llama-factory/saves/Qwen2.5-3B-Instruct/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:833899af6e9af5bb8a1c023a6502457c19c493606ba65cd9d6597b689ff23e32
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size 59933632
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llama-factory/saves/Qwen2.5-3B-Instruct/added_tokens.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b
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size 605
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llama-factory/saves/Qwen2.5-3B-Instruct/all_results.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbd40c54055d514e430a719a0bf2a2b0f4b49ec7e20b8a6db48d1612d28a171d
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size 366
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/README.md
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---
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library_name: peft
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base_model: Qwen/Qwen2.5-3B-Instruct
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/adapter_config.json
ADDED
@@ -0,0 +1,3 @@
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|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/added_tokens.json
ADDED
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|
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version https://git-lfs.github.com/spec/v1
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/merges.txt
ADDED
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|
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version https://git-lfs.github.com/spec/v1
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size 1671853
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/optimizer.pt
ADDED
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|
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|
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version https://git-lfs.github.com/spec/v1
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size 120158586
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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size 14244
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 1064
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/special_tokens_map.json
ADDED
@@ -0,0 +1,3 @@
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|
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|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
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size 613
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a8506e7111b80c6d8635951a02eab0f4e1a8e4e5772da83846579e97b16f61bf
|
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size 7031673
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/tokenizer_config.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:ca15adc168b881d165c75baa466706e504887a8867b86da3f83a851c76352686
|
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size 5246
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/trainer_state.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:ba681b4f5e5fd5e8d26acbecdc8b3a1b6a63bba736c8bf83d4eccead6590f628
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size 5010
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:4b8ee63c342cd8f1feefb8bbe844c83b88e9da16a420145b45e5834855105c5a
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size 5368
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-105/vocab.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
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size 2776833
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/README.md
ADDED
@@ -0,0 +1,202 @@
|
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|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: Qwen/Qwen2.5-3B-Instruct
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/adapter_config.json
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/added_tokens.json
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/merges.txt
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/optimizer.pt
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/rng_state.pth
ADDED
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size 14244
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1064
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/special_tokens_map.json
ADDED
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version https://git-lfs.github.com/spec/v1
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size 613
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
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|
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version https://git-lfs.github.com/spec/v1
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size 7031673
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/tokenizer_config.json
ADDED
@@ -0,0 +1,3 @@
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|
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|
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version https://git-lfs.github.com/spec/v1
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size 5246
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/trainer_state.json
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
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|
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version https://git-lfs.github.com/spec/v1
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size 6435
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
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version https://git-lfs.github.com/spec/v1
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size 5368
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-140/vocab.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 2776833
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/README.md
ADDED
@@ -0,0 +1,202 @@
|
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|
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|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: Qwen/Qwen2.5-3B-Instruct
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/adapter_config.json
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/scheduler.pt
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/tokenizer_config.json
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/trainer_state.json
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/training_args.bin
ADDED
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-175/vocab.json
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
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version https://git-lfs.github.com/spec/v1
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llama-factory/saves/Qwen2.5-3B-Instruct/checkpoint-210/README.md
ADDED
@@ -0,0 +1,202 @@
|
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: Qwen/Qwen2.5-3B-Instruct
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|