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README.md ADDED
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+ ---
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+ license: other
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+ base_model: Qwen/Qwen2-7B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: qwen2-7b
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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: `0.4.0`
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+ ```yaml
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+ base_model: Qwen/Qwen2-7B
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+ tokenizer_use_fast: true
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+
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+ # load_in_8bit: true
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+ # load_in_4bit: false
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+ # strict: false
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+
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+ datasets:
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+ - path: /workspace/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/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-2.9.2/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/dolphin-2.9.2/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/dolphin-2.9.2/not_samantha_norefusals.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/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/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/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/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl
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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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+ dataset_prepared_path: qwen2-7b-data
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+ val_set_size: 0.01
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+ output_dir: qwen2-7b
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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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+ # 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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+
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+ wandb_project: qwen2-72b
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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: 8
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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-5
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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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+ warmup_steps: 10
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+ evals_per_epoch: 2
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+ eval_table_size:
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+ eval_max_new_tokens: 128
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+ saves_per_epoch: 4
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+ save_total_limit: 2
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+ debug:
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+ deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.05
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ pad_token: "<|endoftext|>"
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+ eos_token: "<|im_end|>"
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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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+ # qwen2-7b
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5746
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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: 1e-05
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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: 8
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+ - total_train_batch_size: 64
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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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+
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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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+ | 0.7835 | 0.0014 | 1 | 0.7811 |
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+ | 0.597 | 0.4998 | 355 | 0.6048 |
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+ | 0.5885 | 0.9996 | 710 | 0.5834 |
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+ | 0.5216 | 1.4805 | 1065 | 0.5770 |
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+ | 0.5407 | 1.9803 | 1420 | 0.5697 |
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+ | 0.4955 | 2.4611 | 1775 | 0.5752 |
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+ | 0.487 | 2.9609 | 2130 | 0.5746 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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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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config.json ADDED
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+ {
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+ "_name_or_path": "Qwen/Qwen2-7B",
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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": 3584,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 18944,
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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": 28,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 4,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.2",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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+ "max_new_tokens": 2048,
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+ "transformers_version": "4.40.2"
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+ }
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