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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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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: outputs/Qwen7b
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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: Qwen/Qwen2-7B
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ trust_remote_code: 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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+ datasets:
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+ - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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+ type: sharegpt
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+ conversation: chatml
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+ # - path: NewEden/vanilla-backrooms-claude-sharegpt
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+ # type: sharegpt
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+ # conversation: chatml
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+ - path: anthracite-org/kalo_opus_misc_240827
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+ type: sharegpt
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+ conversation: chatml
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+ type: sharegpt
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+ conversation: chatml
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+ - path: AquaV/Chemical-Biological-Safety-Applications-Sharegpt
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+ type: sharegpt
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+ conversation: chatml
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+ - path: AquaV/Energetic-Materials-Sharegpt
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+ type: sharegpt
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+ conversation: chatml
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+ - path: lodrick-the-lafted/NopmWritingStruct
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+ type: sharegpt
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+ conversation: chatml
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+ - path: NewEden/Claude-Instruct-5k
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+ type: sharegpt
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+ conversation: chatml
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+ - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
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+ type: sharegpt
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+ conversation: chatml
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+ - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
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+ type: sharegpt
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+ conversation: chatml
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+ - path: NewEden/Stheno-Data-filtered-8k-subset
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+ type: sharegpt
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+ conversation: chatml
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+ - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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+ type: sharegpt
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+ conversation: chatml
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+ - path: PJMixers/lodrick-the-lafted_OpusStories-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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+ dataset_prepared_path:
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+ val_set_size: 0.01
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+ output_dir: ./outputs/Qwen7b
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+ sequence_len: 8192
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+ sample_packing: true
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+ eval_sample_packing: false
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+ pad_to_sequence_len: true
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+
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+ adapter:
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+ lora_model_dir:
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+ lora_r:
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+ lora_alpha:
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+ lora_dropout:
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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: henbane 7b-attempt2
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: henbane 7b-attempt2
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+ wandb_log_model:
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+
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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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+ gradient_accumulation_steps: 32
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+ micro_batch_size: 1
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+ num_epochs: 2
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+ optimizer: adamw_torch
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+ lr_scheduler: cosine
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+ learning_rate: 0.00002
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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: true
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+
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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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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+ saves_per_epoch: 1
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+ debug:
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+ weight_decay: 0.5
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+ special_tokens:
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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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+ # outputs/Qwen7b
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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: 1.0222
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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: 2e-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: 2
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 2
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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: 2
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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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+ | 1.4212 | 0.0077 | 1 | 1.4377 |
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+ | 1.1822 | 0.2543 | 33 | 1.1101 |
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+ | 1.1671 | 0.5085 | 66 | 1.0674 |
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+ | 1.1008 | 0.7628 | 99 | 1.0414 |
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+ | 1.004 | 1.0019 | 132 | 1.0255 |
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+ | 0.8963 | 1.2562 | 165 | 1.0312 |
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+ | 0.8914 | 1.5105 | 198 | 1.0255 |
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+ | 0.8788 | 1.7647 | 231 | 1.0222 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.0+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": 151643,
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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": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.0.dev0",
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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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+ }
generation_config.json ADDED
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+ "transformers_version": "4.45.0.dev0"
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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