Commit
·
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Parent(s):
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Upload 9 files
Browse files- .gitattributes +1 -0
- Modelfile +1 -0
- README.md +169 -0
- config.json +28 -0
- generation_config.json +7 -0
- ggml-model-f16.gguf +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +45 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ggml-model-f16.gguf filter=lfs diff=lfs merge=lfs -text
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Modelfile
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README.md
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---
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license: apache-2.0
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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tags:
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- generated_from_trainer
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model-index:
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- name: tinyllama-out
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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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[<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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axolotl version: `0.3.0`
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```yaml
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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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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eval_sample_packing: False #Poco dato
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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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datasets:
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- path: data.json # or json
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ds_type: json # see other options below
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type: completion
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dataset_prepared_path:
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val_set_size: 0.05
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# output_dir: ./lora-out
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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# adapter: lora
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# lora_model_dir:
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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_linear: true
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# lora_fan_in_fan_out:
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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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output_dir: ./tinyllama-out
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 8 #2
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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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 #TODO: change to true
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tf32: false
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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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save_strategy: "no"
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warmup_steps: 10
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evals_per_epoch: 4
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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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</details><br>
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# tinyllama-out
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8806
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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: 0.0002
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.9894 | 0.13 | 1 | 1.5790 |
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| 1.915 | 0.26 | 2 | 1.4849 |
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| 1.642 | 0.52 | 4 | 1.4032 |
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| 1.5396 | 0.77 | 6 | 1.4059 |
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| 1.3746 | 1.03 | 8 | 1.4101 |
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| 0.9355 | 1.23 | 10 | 1.5147 |
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| 0.9266 | 1.48 | 12 | 1.5291 |
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| 0.8006 | 1.74 | 14 | 1.4724 |
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| 0.7664 | 2.0 | 16 | 1.4965 |
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| 0.4813 | 2.16 | 18 | 1.5715 |
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| 0.4193 | 2.42 | 20 | 1.5436 |
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| 0.364 | 2.68 | 22 | 1.6040 |
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| 0.3592 | 2.94 | 24 | 1.5823 |
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| 0.1884 | 3.13 | 26 | 1.6850 |
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| 0.159 | 3.39 | 28 | 1.8316 |
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| 0.1641 | 3.65 | 30 | 1.7286 |
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| 0.1512 | 3.9 | 32 | 1.7029 |
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| 0.1563 | 4.06 | 34 | 1.7033 |
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| 0.0696 | 4.32 | 36 | 1.7482 |
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| 0.0643 | 4.58 | 38 | 1.8069 |
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| 0.0662 | 4.84 | 40 | 1.8410 |
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| 0.0709 | 5.1 | 42 | 1.8529 |
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| 0.0344 | 5.26 | 44 | 1.8626 |
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| 0.0468 | 5.52 | 46 | 1.8716 |
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| 0.0328 | 5.77 | 48 | 1.8761 |
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| 0.0353 | 6.03 | 50 | 1.8789 |
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| 0.0375 | 6.23 | 52 | 1.8803 |
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| 0.0345 | 6.48 | 54 | 1.8802 |
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| 0.0346 | 6.74 | 56 | 1.8806 |
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### Framework versions
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- Transformers 4.37.0.dev0
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- Pytorch 2.0.1
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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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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"bos_token_id": 1,
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"eos_token_id": 2,
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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": 4096,
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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": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.37.0.dev0"
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}
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ggml-model-f16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:89a729680294ea5f37ce4d9ceea6faf4b8d3a3c065083707d085b97d27cb2dc5
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size 2201017248
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c118c16a1a80d74217d3334fd295f2ca3a096b21ef81535bc804508a06403be
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size 2200164273
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"bos_token": "<s>",
|
| 31 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
| 32 |
+
"clean_up_tokenization_spaces": false,
|
| 33 |
+
"eos_token": "</s>",
|
| 34 |
+
"legacy": false,
|
| 35 |
+
"model_max_length": 2048,
|
| 36 |
+
"pad_token": "</s>",
|
| 37 |
+
"padding_side": "right",
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"spaces_between_special_tokens": false,
|
| 40 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 41 |
+
"trust_remote_code": false,
|
| 42 |
+
"unk_token": "<unk>",
|
| 43 |
+
"use_default_system_prompt": false,
|
| 44 |
+
"use_fast": true
|
| 45 |
+
}
|