End of training
Browse files- README.md +222 -1
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors +3 -0
- model.safetensors.index.json +298 -0
README.md
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---
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-
license:
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---
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1 |
---
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2 |
+
license: other
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+
base_model: meta-llama/Meta-Llama-3-8B
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: Einstein-v6.1-Llama3-8B
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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: `0.4.0`
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```yaml
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base_model: meta-llama/Meta-Llama-3-8B
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model_type: LlamaForCausalLM
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tokenizer_type: AutoTokenizer
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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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chat_template: chatml
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datasets:
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- path: data/merged_all.json
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ds_type: json
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type: alpaca
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conversation: chatml
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- path: data/gpteacher-instruct-special-alpaca.json
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ds_type: json
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type: gpteacher
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conversation: chatml
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- path: data/wizardlm_evol_instruct_70k_random_half.json
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ds_type: json
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type: alpaca
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conversation: chatml
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+
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- path: data/capybara_sharegpt.json
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+
ds_type: json
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+
type: sharegpt
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conversation: chatml
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+
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- path: data/synthia-v1.3_sharegpt_12500.json
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: data/cot_alpaca_gpt4_extracted_openhermes_2.5_sharegpt.json
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: data/slimorca_dedup_filtered_95k_sharegpt.json
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+
ds_type: json
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type: sharegpt
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conversation: chatml
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+
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- path: data/airoboros_3.2_without_contextual_slimorca_orca_sharegpt.json
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: data/allenai_wild_chat_gpt4_english_toxic_random_half_4k_sharegpt.json
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+
ds_type: json
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type: sharegpt
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strict: false
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conversation: chatml
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- path: data/pippa_bagel_repo_3k_sharegpt.json
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: data/gpt4_data_lmys_1m_sharegpt.json
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: data/sharegpt_gpt4_english.json
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ds_type: json
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type: sharegpt
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conversation: chatml
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- path: data/no_robots_sharegpt.json
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ds_type: json
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type: sharegpt
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strict: false
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conversation: chatml
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- path: data/oasst_top1_from_fusechatmixture_sharegpt.json
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ds_type: json
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type: sharegpt
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strict: false
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conversation: chatml
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- path: data/everythinglm-data-v3_sharegpt.json
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ds_type: json
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type: sharegpt
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strict: false
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conversation: chatml
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.002
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output_dir: ./Einstein-v6.1-Llama3-8B-model
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sequence_len: 8192
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sample_packing: true
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pad_to_sequence_len: true
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eval_sample_packing: false
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wandb_project: Einstein
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wandb_entity:
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wandb_watch:
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wandb_name: Einstein-v6.1-Llama3-2-epoch
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wandb_log_model:
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hub_model_id: Weyaxi/Einstein-v6.1-Llama3-8B
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save_safetensors: true
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gradient_accumulation_steps: 4
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micro_batch_size: 1
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num_epochs: 2
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optimizer: adamw_bnb_8bit # look
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lr_scheduler: cosine
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learning_rate: 0.000005 # look
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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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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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warmup_steps: 10
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evals_per_epoch: 2
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eval_table_size:
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eval_table_max_new_tokens: 128
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saves_per_epoch: 2
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debug:
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deepspeed: zero3_bf16_cpuoffload_params.json
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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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bos_token: "<s>"
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eos_token: "<|im_end|>"
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unk_token: "<unk>"
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pad_token: <|end_of_text|> # changed
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tokens:
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- "<|im_start|>"
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```
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</details><br>
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# Einstein-v6.1-Llama3-8B
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5786
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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: 5e-06
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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: 9
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 36
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- total_eval_batch_size: 9
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6849 | 0.0 | 1 | 1.7294 |
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| 0.6045 | 0.5 | 507 | 0.6127 |
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| 0.5986 | 1.0 | 1014 | 0.5868 |
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| 0.5136 | 1.48 | 1521 | 0.5786 |
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### Framework versions
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- Transformers 4.40.0.dev0
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- Pytorch 2.1.2+cu118
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128001,
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"transformers_version": "4.40.0.dev0"
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}
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4976731440
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4999802720
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model-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00004-of-00004.safetensors
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model.safetensors
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size 539576
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model.safetensors.index.json
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