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tangled-llama-pints-1.5b-v0.2-instruct

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fine-tuned

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  1. outputs/qlora-out/README.md +159 -0
  2. outputs/qlora-out/adapter_config.json +34 -0
  3. outputs/qlora-out/adapter_model.bin +3 -0
  4. outputs/qlora-out/added_tokens.json +66 -0
  5. outputs/qlora-out/checkpoint-1770/README.md +202 -0
  6. outputs/qlora-out/checkpoint-1770/adapter_config.json +34 -0
  7. outputs/qlora-out/checkpoint-1770/adapter_model.safetensors +3 -0
  8. outputs/qlora-out/checkpoint-1770/added_tokens.json +66 -0
  9. outputs/qlora-out/checkpoint-1770/optimizer.pt +3 -0
  10. outputs/qlora-out/checkpoint-1770/rng_state.pth +3 -0
  11. outputs/qlora-out/checkpoint-1770/scheduler.pt +3 -0
  12. outputs/qlora-out/checkpoint-1770/special_tokens_map.json +95 -0
  13. outputs/qlora-out/checkpoint-1770/tokenizer.json +0 -0
  14. outputs/qlora-out/checkpoint-1770/tokenizer.model +3 -0
  15. outputs/qlora-out/checkpoint-1770/tokenizer_config.json +624 -0
  16. outputs/qlora-out/checkpoint-1770/trainer_state.json +0 -0
  17. outputs/qlora-out/checkpoint-1770/training_args.bin +3 -0
  18. outputs/qlora-out/checkpoint-2655/README.md +202 -0
  19. outputs/qlora-out/checkpoint-2655/adapter_config.json +34 -0
  20. outputs/qlora-out/checkpoint-2655/adapter_model.safetensors +3 -0
  21. outputs/qlora-out/checkpoint-2655/added_tokens.json +66 -0
  22. outputs/qlora-out/checkpoint-2655/optimizer.pt +3 -0
  23. outputs/qlora-out/checkpoint-2655/rng_state.pth +3 -0
  24. outputs/qlora-out/checkpoint-2655/scheduler.pt +3 -0
  25. outputs/qlora-out/checkpoint-2655/special_tokens_map.json +95 -0
  26. outputs/qlora-out/checkpoint-2655/tokenizer.json +0 -0
  27. outputs/qlora-out/checkpoint-2655/tokenizer.model +3 -0
  28. outputs/qlora-out/checkpoint-2655/tokenizer_config.json +624 -0
  29. outputs/qlora-out/checkpoint-2655/trainer_state.json +0 -0
  30. outputs/qlora-out/checkpoint-2655/training_args.bin +3 -0
  31. outputs/qlora-out/checkpoint-885/README.md +202 -0
  32. outputs/qlora-out/checkpoint-885/adapter_config.json +34 -0
  33. outputs/qlora-out/checkpoint-885/adapter_model.safetensors +3 -0
  34. outputs/qlora-out/checkpoint-885/added_tokens.json +66 -0
  35. outputs/qlora-out/checkpoint-885/optimizer.pt +3 -0
  36. outputs/qlora-out/checkpoint-885/rng_state.pth +3 -0
  37. outputs/qlora-out/checkpoint-885/scheduler.pt +3 -0
  38. outputs/qlora-out/checkpoint-885/special_tokens_map.json +95 -0
  39. outputs/qlora-out/checkpoint-885/tokenizer.json +0 -0
  40. outputs/qlora-out/checkpoint-885/tokenizer.model +3 -0
  41. outputs/qlora-out/checkpoint-885/tokenizer_config.json +624 -0
  42. outputs/qlora-out/checkpoint-885/trainer_state.json +0 -0
  43. outputs/qlora-out/checkpoint-885/training_args.bin +3 -0
  44. outputs/qlora-out/config.json +46 -0
  45. outputs/qlora-out/special_tokens_map.json +95 -0
  46. outputs/qlora-out/tokenizer.json +0 -0
  47. outputs/qlora-out/tokenizer.model +3 -0
  48. outputs/qlora-out/tokenizer_config.json +624 -0
outputs/qlora-out/README.md ADDED
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+ ---
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+ base_model: pints-ai/1.5-Pints-16K-v0.1
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+ library_name: peft
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: outputs/qlora-out
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+ results: []
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+ ---
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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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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: pints-ai/1.5-Pints-16K-v0.1
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ load_in_8bit: false
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+ load_in_4bit: true
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+ strict: false
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+
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+ datasets:
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+ - path: tangledgroup/tangled-llama-pints-1.5b-v0.2-dataset
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+ type: sharegpt
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+ conversation: chatml
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+ chat_template: chatml
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+ dataset_prepared_path:
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+ val_set_size: 0.05
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+ output_dir: ./outputs/qlora-out
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+
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+ adapter: qlora
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+ lora_model_dir:
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+
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+ sequence_len: 16384
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ lora_r: 32
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+ lora_alpha: 16
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+ lora_dropout: 0.05
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+ lora_target_modules:
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+ lora_target_linear: true
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+ lora_fan_in_fan_out:
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+
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+ wandb_project:
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name:
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 4
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+ micro_batch_size: 2
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+ num_epochs: 3
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+ optimizer: paged_adamw_32bit
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+ # optimizer: adamw_torch_fused
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+ lr_scheduler: cosine
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+ learning_rate: 0.0002
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: true
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ loss_watchdog_threshold: 15.0
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+ loss_watchdog_patience: 3
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+
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+ warmup_steps: 10
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+ evals_per_epoch: 3
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+ eval_table_size:
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed:
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+ weight_decay: 0.0
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_swiglu: true
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+ liger_fused_linear_cross_entropy: true
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+ ```
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+
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+ </details><br>
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+
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+ # outputs/qlora-out
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+
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+ This model is a fine-tuned version of [pints-ai/1.5-Pints-16K-v0.1](https://huggingface.co/pints-ai/1.5-Pints-16K-v0.1) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9847
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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_steps: 10
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.1396 | 0.0011 | 1 | 1.1313 |
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+ | 1.0777 | 0.3332 | 295 | 1.0278 |
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+ | 1.0219 | 0.6665 | 590 | 1.0119 |
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+ | 1.0006 | 0.9997 | 885 | 1.0020 |
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+ | 1.0385 | 1.3307 | 1180 | 0.9954 |
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+ | 0.9405 | 1.6639 | 1475 | 0.9902 |
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+ | 0.9249 | 1.9972 | 1770 | 0.9867 |
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+ | 0.9951 | 2.3282 | 2065 | 0.9856 |
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+ | 0.9713 | 2.6616 | 2360 | 0.9848 |
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+ | 0.9576 | 2.9949 | 2655 | 0.9847 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.1
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "loftq_config": {},
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "k_proj",
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+ "v_proj",
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+ "down_proj",
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+ "gate_proj",
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+ "up_proj",
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+ "q_proj",
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+ "o_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ ---
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+ base_model: pints-ai/1.5-Pints-16K-v0.1
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+ library_name: peft
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- 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. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ 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).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ ---
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+ base_model: pints-ai/1.5-Pints-16K-v0.1
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+ library_name: peft
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+ ---
5
+
6
+ # Model Card for Model ID
7
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ ## Model Details
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+ ### Model Description
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+ - **Repository:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
37
+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+ [More Information Needed]
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
53
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
63
+
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+ ### Recommendations
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
71
+
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+ Use the code below to get started with the model.
73
+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+ <!-- 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. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ [More Information Needed]
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+
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+ #### Metrics
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ ## Model Examination [optional]
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+ 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
+
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+ - **Hardware Type:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
154
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+ ### Model Architecture and Objective
156
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+ [More Information Needed]
158
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+ ### Compute Infrastructure
160
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+ [More Information Needed]
162
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+ #### Hardware
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+ [More Information Needed]
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168
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172
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+ [More Information Needed]
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190
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+ [More Information Needed]
192
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+ ## Model Card Authors [optional]
194
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196
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+ ## Model Card Contact
198
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199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
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+ ---
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+ base_model: pints-ai/1.5-Pints-16K-v0.1
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+ library_name: peft
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+ ---
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+ # Model Card for Model ID
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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+ ## Training Details
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ [More Information Needed]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ ## Evaluation
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ 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).
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+ ## Model Card Contact
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+ [More Information Needed]
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+ ### Framework versions
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+
202
+ - PEFT 0.12.0
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+ "rstrip": false,
443
+ "single_word": false,
444
+ "special": true
445
+ },
446
+ "32052": {
447
+ "content": "<|reserved_37|>",
448
+ "lstrip": false,
449
+ "normalized": false,
450
+ "rstrip": false,
451
+ "single_word": false,
452
+ "special": true
453
+ },
454
+ "32053": {
455
+ "content": "<|reserved_38|>",
456
+ "lstrip": false,
457
+ "normalized": false,
458
+ "rstrip": false,
459
+ "single_word": false,
460
+ "special": true
461
+ },
462
+ "32054": {
463
+ "content": "<|reserved_39|>",
464
+ "lstrip": false,
465
+ "normalized": false,
466
+ "rstrip": false,
467
+ "single_word": false,
468
+ "special": true
469
+ },
470
+ "32055": {
471
+ "content": "<|reserved_40|>",
472
+ "lstrip": false,
473
+ "normalized": false,
474
+ "rstrip": false,
475
+ "single_word": false,
476
+ "special": true
477
+ },
478
+ "32056": {
479
+ "content": "<|reserved_41|>",
480
+ "lstrip": false,
481
+ "normalized": false,
482
+ "rstrip": false,
483
+ "single_word": false,
484
+ "special": true
485
+ },
486
+ "32057": {
487
+ "content": "<|reserved_42|>",
488
+ "lstrip": false,
489
+ "normalized": false,
490
+ "rstrip": false,
491
+ "single_word": false,
492
+ "special": true
493
+ },
494
+ "32058": {
495
+ "content": "<|reserved_43|>",
496
+ "lstrip": false,
497
+ "normalized": false,
498
+ "rstrip": false,
499
+ "single_word": false,
500
+ "special": true
501
+ },
502
+ "32059": {
503
+ "content": "<|reserved_44|>",
504
+ "lstrip": false,
505
+ "normalized": false,
506
+ "rstrip": false,
507
+ "single_word": false,
508
+ "special": true
509
+ },
510
+ "32060": {
511
+ "content": "<|reserved_45|>",
512
+ "lstrip": false,
513
+ "normalized": false,
514
+ "rstrip": false,
515
+ "single_word": false,
516
+ "special": true
517
+ },
518
+ "32061": {
519
+ "content": "<|reserved_46|>",
520
+ "lstrip": false,
521
+ "normalized": false,
522
+ "rstrip": false,
523
+ "single_word": false,
524
+ "special": true
525
+ },
526
+ "32062": {
527
+ "content": "<|reserved_47|>",
528
+ "lstrip": false,
529
+ "normalized": false,
530
+ "rstrip": false,
531
+ "single_word": false,
532
+ "special": true
533
+ },
534
+ "32063": {
535
+ "content": "<|reserved_48|>",
536
+ "lstrip": false,
537
+ "normalized": false,
538
+ "rstrip": false,
539
+ "single_word": false,
540
+ "special": true
541
+ }
542
+ },
543
+ "additional_special_tokens": [
544
+ "<|end_of_turn|>",
545
+ "<|im_start|>",
546
+ "</s>",
547
+ "[INST]",
548
+ "[/INST]",
549
+ "<<SYS>>",
550
+ "<</SYS>>",
551
+ "<|user|>",
552
+ "<|system|>",
553
+ "<|assistant|>",
554
+ "<|begin_of_text|>",
555
+ "<|start_header_id|>",
556
+ "<|end_header_id|>",
557
+ "<|eot_id|>",
558
+ "<|reserved_0|>",
559
+ "<|reserved_1|>",
560
+ "<|reserved_2|>",
561
+ "<|reserved_3|>",
562
+ "<|reserved_4|>",
563
+ "<|reserved_5|>",
564
+ "<|reserved_6|>",
565
+ "<|reserved_7|>",
566
+ "<|reserved_8|>",
567
+ "<|reserved_9|>",
568
+ "<|reserved_10|>",
569
+ "<|reserved_11|>",
570
+ "<|reserved_12|>",
571
+ "<|reserved_13|>",
572
+ "<|reserved_14|>",
573
+ "<|reserved_15|>",
574
+ "<|reserved_16|>",
575
+ "<|reserved_17|>",
576
+ "<|reserved_18|>",
577
+ "<|reserved_19|>",
578
+ "<|reserved_20|>",
579
+ "<|reserved_21|>",
580
+ "<|reserved_22|>",
581
+ "<|reserved_23|>",
582
+ "<|reserved_24|>",
583
+ "<|reserved_25|>",
584
+ "<|reserved_26|>",
585
+ "<|reserved_27|>",
586
+ "<|reserved_28|>",
587
+ "<|reserved_29|>",
588
+ "<|reserved_30|>",
589
+ "<|reserved_31|>",
590
+ "<|reserved_32|>",
591
+ "<|reserved_33|>",
592
+ "<|reserved_34|>",
593
+ "<|reserved_35|>",
594
+ "<|reserved_36|>",
595
+ "<|reserved_37|>",
596
+ "<|reserved_38|>",
597
+ "<|reserved_39|>",
598
+ "<|reserved_40|>",
599
+ "<|reserved_41|>",
600
+ "<|reserved_42|>",
601
+ "<|reserved_43|>",
602
+ "<|reserved_44|>",
603
+ "<|reserved_45|>",
604
+ "<|reserved_46|>",
605
+ "<|reserved_47|>",
606
+ "<|reserved_48|>"
607
+ ],
608
+ "bos_token": "<s>",
609
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
610
+ "clean_up_tokenization_spaces": false,
611
+ "eos_token": "<|im_end|>",
612
+ "kwargs": {
613
+ "eos_token": "<|im_end|>",
614
+ "pad_token": "<|pad|>",
615
+ "padding_side": "right"
616
+ },
617
+ "legacy": true,
618
+ "model_max_length": 1000000000000000019884624838656,
619
+ "pad_token": "<|pad|>",
620
+ "padding_side": "right",
621
+ "tokenizer_class": "LlamaTokenizer",
622
+ "unk_token": "<unk>",
623
+ "use_default_system_prompt": false
624
+ }