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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: mhenrichsen/danskgpt-tiny
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: tiny-chat
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.3.0`
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+ ```yaml
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+ base_model: mhenrichsen/danskgpt-tiny
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+
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+ model_type: LlamaForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+ is_llama_derived_model: true
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ #pretraining_dataset: mhenrichsen/terra
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+
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+ datasets:
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+ - path: mhenrichsen/rag-qa-sharegpt
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+ type: sharegpt
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+ conversation: chatml
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+ - path: mhenrichsen/creator
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+ type: sharegpt
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+ conversation: chatml
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+ - path: mhenrichsen/puffin-sharegpt-fix
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+ type: sharegpt
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+ conversation: chatml
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+ - path: mhenrichsen/orcaslim-sharegpt-fix
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+ type: sharegpt
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+ conversation: chatml
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+ - path: mhenrichsen/dansk-tekst-sharegpt
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+ type: sharegpt
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+ conversation: chatml
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+
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+ chat_template: chatml
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+
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+ dataset_prepared_path:
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+ val_set_size: 0.001
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+ output_dir: ./tiny-chat
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+
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+ sequence_len: 2048
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ wandb_project: tiny-danskgpt-chat
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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: 16
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+ num_epochs: 3
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+ optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.00005
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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: true
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+ fp16: false
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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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+ warmup_steps: 10
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+ evals_per_epoch: 4
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+ eval_table_size:
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+ saves_per_epoch: 2
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+ debug:
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+ deepspeed: deepspeed/zero2.json
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+ weight_decay: 0.1
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ eos_token: "<|im_end|>"
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+ tokens:
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+ - "<|im_start|>"
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+
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+ ```
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+
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+ </details><br>
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+
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+ # tiny-chat
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+
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+ This model is a fine-tuned version of [mhenrichsen/danskgpt-tiny](https://huggingface.co/mhenrichsen/danskgpt-tiny) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7168
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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: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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+ - total_eval_batch_size: 64
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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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+ | 1.3599 | 0.0 | 1 | 1.4118 |
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+ | 0.7896 | 0.25 | 136 | 0.7813 |
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+ | 0.7339 | 0.5 | 272 | 0.7490 |
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+ | 0.7378 | 0.75 | 408 | 0.7285 |
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+ | 0.7112 | 1.0 | 544 | 0.7146 |
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+ | 0.6377 | 1.23 | 680 | 0.7135 |
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+ | 0.6192 | 1.49 | 816 | 0.7133 |
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+ | 0.5985 | 1.74 | 952 | 0.7073 |
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+ | 0.6067 | 1.99 | 1088 | 0.7026 |
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+ | 0.5139 | 2.22 | 1224 | 0.7167 |
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+ | 0.5099 | 2.47 | 1360 | 0.7193 |
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+ | 0.5217 | 2.72 | 1496 | 0.7168 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ {
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+ "<|im_end|>": 32000,
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "mhenrichsen/danskgpt-tiny",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5632,
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+ "max_position_embeddings": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 22,
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+ "num_key_value_heads": 4,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
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+ "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 %}",
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+ "use_fast": true
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+ }