Crystalcareai
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Commit
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +186 -0
- added_tokens.json +5 -0
- config.json +27 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2-1.5B
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tags:
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- generated_from_trainer
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model-index:
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- name: qwen-2.9.3-qwen2-1.5b
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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: `0.4.1`
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```yaml
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base_model: Qwen/Qwen2-1.5B
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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# load_in_4bit: true
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chat_template: chatml
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datasets:
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- path: /workspace/datasets/dolphin201-sharegpt2.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/SystemChat_filtered_sharegpt.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/SystemChat_multilingual_sharegpt.jsonl
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type: sharegpt
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conversation: chatml
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# - path: /workspace/datasets/SystemChat-2.0-Arabic/SystemChatArabic_sharegpt.jsonl
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# type: sharegpt
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# conversation: chatml
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# - path: /workspace/datasets/dolphin-coder-translate-sharegpt2.jsonl
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# type: sharegpt
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# conversation: chatml
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# - path: /workspace/datasets/dolphin-coder-codegen-sharegpt2.jsonl
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# type: sharegpt
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# conversation: chatml
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# - path: /workspace/datasets/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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# type: sharegpt
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# conversation: chatml
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# - path: /workspace/datasets/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
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# type: sharegpt
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# conversation: chatml
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- path: /workspace/datasets/not_samantha_norefusals.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/Orca-Math-resort-unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/agent_instruct_react_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/toolbench_negative_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/toolbench_react_10p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/toolbench_tflan_cot_30p_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/openhermes200k_unfiltered.jsonl
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type: sharegpt
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conversation: chatml
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.03
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output_dir: ./qwen-2.9.3-qwen2-1.5b
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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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# adapter: qlora
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# lora_r: 16
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# lora_alpha: 32
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# lora_dropout: 0.05
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# lora_target_modules:
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# - q_proj
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# - k_proj
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# - v_proj
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# - o_proj
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# - gate_proj
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# - up_proj
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# - down_proj
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wandb_project: 2.9.3-qwen-2.9.3-qwen2-1.5b
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# wandb_entity: oaaic
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# wandb_watch:
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# wandb_name:
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# wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size: 1
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num_epochs: 3
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optimizer: adamw_8bit
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lr_scheduler: cosine
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learning_rate: 1e-4
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# max_grad_norm: 1.0
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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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tf32: false
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: true
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logging_steps: 1
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flash_attention: true
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deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
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warmup_steps: 10
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# evals_per_epoch: 2
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saves_per_epoch: 2
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save_total_limit: 2
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weight_decay: 0.1
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special_tokens:
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eos_token: <|im_end|>
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```
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</details><br>
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# qwen-2.9.3-qwen2-1.5b
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This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8170
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- total_eval_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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.8747 | 1.0147 | 1453 | 0.8560 |
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| 0.719 | 2.0161 | 2908 | 0.7965 |
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| 0.5651 | 2.9693 | 4296 | 0.8170 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2-1.5B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": 151643,
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"max_new_tokens": 2048,
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"transformers_version": "4.41.1"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4068f86350e4f1a5921dad4fd45582c2d96c98444a5ea5cdb1f18cef45bed9dc
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size 3087467144
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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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": "<|endoftext|>",
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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.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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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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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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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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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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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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"special": true
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": null,
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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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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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vocab.json
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