ToastyPigeon
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Commit
•
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +38 -0
- axolotl_config.yaml +128 -0
- config.json +38 -0
- generation_config.json +7 -0
- model.safetensors.index.json +370 -0
- output-00001-of-00002.safetensors +3 -0
- output-00002-of-00002.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model: mistralai/Mistral-Nemo-Base-2407
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license: apache-2.0
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datasets:
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- BeaverAI/Nemo-Inst-Tune-ds
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language:
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- en
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library_name: transformers
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---
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# Dory 12b
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redone instruct finetune of mistral nemo 12b. *not* (E)RP-focused, leave that to drummer.
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![image/gif](https://cdn-uploads.huggingface.co/production/uploads/634262af8d8089ebaefd410e/tP5kiebGrg8DJZbeBEc3Q.gif)
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thanks to twisted for the compute :3
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## Prompting
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alpaca-like:
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```
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### System:
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[Optional system prompt]
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### Instruction:
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[Query]
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### Response:
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[Response]<EOT>
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### Instruction:
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[...]
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```
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## Training details
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Rank 64 QDoRA, trained on the following data mix:
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- All of [kalomaze/Opus_Instruct_3k](https://huggingface.co/datasets/kalomaze/Opus_Instruct_3k)
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- All conversations with a reward model rating above 5 in [Magpie-Align/Magpie-Gemma2-Pro-Preview-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-Preview-Filtered)
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- 50k of [Gryphe/Sonnet3.5-SlimOrcaDedupCleaned](https://huggingface.co/datasets/Gryphe/Sonnet3.5-SlimOrcaDedupCleaned)
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- All stories above 4.7 rating and published before 2020 in [Fizzarolli/FallingThroughTheSkies-592k-Filtered-Filtered](https://huggingface.co/datasets/Fizzarolli/FallingThroughTheSkies-592k-Filtered-Filtered)
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axolotl_config.yaml
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# Weights and Biases logging config
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wandb_project: nemo-instruct-tune
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wandb_entity:
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wandb_watch:
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wandb_name: v1
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wandb_log_model:
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# Model architecture config
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base_model: mistralai/Mistral-Nemo-Base-2407
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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chat_template: alpaca
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# Hugging Face saving config
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hub_model_id: Fizzarolli/nemo-instruct-tune-v1
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hub_strategy: all_checkpoints
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push_dataset_to_hub:
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hf_use_auth_token:
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# Model checkpointing config
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output_dir: ./lora-out
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resume_from_checkpoint:
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save_steps:
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saves_per_epoch: 10
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save_safetensors: true
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save_total_limit: 2
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# Mixed precision training config
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bf16: true
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fp16: false
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tf32: false
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# Model loading config
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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# Sequence config
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sequence_len: 16384
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s2_attention: false
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sample_packing: true
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eval_sample_packing: true
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pad_to_sequence_len: true
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train_on_inputs: false
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group_by_length: false
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# QLoRA adapter config
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adapter: qlora
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lora_model_dir:
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lora_r: 64
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lora_alpha: 64
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lora_dropout: 0.125
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lora_fan_in_fan_out:
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lora_target_linear:
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save_embedding_layers:
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peft_layers_to_transform:
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peft_use_dora: true
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peft_use_rslora:
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peft_layer_replication:
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lora_target_modules:
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- gate_proj
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- down_proj
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- up_proj
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- q_proj
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- v_proj
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- k_proj
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- o_proj
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lora_modules_to_save:
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# Unfrozen parameters for FFT
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unfrozen_parameters:
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# Dataset config
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datasets:
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- path: BeaverAI/Nemo-Inst-Tune-ds
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type: chat_template
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val_set_size: 0.05
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evaluation_strategy:
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eval_steps:
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evals_per_epoch: 20
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test_datasets:
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dataset_prepared_path: ./prepared-datasets
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shuffle_merged_datasets: true
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# Training hyperparameters
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num_epochs: 1
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gradient_accumulation_steps: 2
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micro_batch_size: 1
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eval_batch_size: 1
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warmup_steps: 25
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optimizer: paged_adamw_8bit
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lr_scheduler: cosine
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learning_rate: 0.000007
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loraplus_lr_ratio: 8
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loraplus_lr_embedding:
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cosine_min_lr_ratio: 0.1
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weight_decay: 0.1
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max_grad_norm: 1
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logging_steps: 1
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# Model optimization
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gradient_checkpointing: unsloth
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xformers_attention: false
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flash_attention: true
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sdp_attention: false
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unsloth_cross_entropy_loss: false
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unsloth_lora_mlp: false
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unsloth_lora_qkv: false
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unsloth_lora_o: false
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# Loss monitoring config
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early_stopping_patience: false
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loss_watchdog_threshold: 100.0
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loss_watchdog_patience: 3
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# Debug config
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debug: true
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seed: 42
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# DeepSpeed and FSDP config
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deepspeed: deepspeed_configs/zero2.json
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fsdp:
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fsdp_config:
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# Token config
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special_tokens:
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pad_token: "<pad>"
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tokens:
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config.json
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{
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"_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
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"architectures": [
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"MistralForCausalLM"
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],
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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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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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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": "4.43.0.dev0",
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"use_cache": false,
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"vocab_size": 131072,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.1.7",
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"bits": 6.9,
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"head_bits": 6,
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"calibration": {
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"rows": 115,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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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": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.43.0.dev0"
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}
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model.safetensors.index.json
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{
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"metadata": {
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"total_size": 24495564800
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},
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"weight_map": {
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"lm_head.weight": "model-00005-of-00005.safetensors",
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"model.embed_tokens.weight": "model-00001-of-00005.safetensors",
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"model.layers.0.input_layernorm.weight": "model-00001-of-00005.safetensors",
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oid sha256:285b175d64ef78f9e965acbdcdffc272db98a0f65497c1944303e0b0831e4508
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size 2660201968
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special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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1 |
+
{
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2 |
+
"bos_token": {
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3 |
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"content": "<s>",
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4 |
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"lstrip": false,
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5 |
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"normalized": false,
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6 |
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"rstrip": false,
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7 |
+
"single_word": false
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8 |
+
},
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9 |
+
"eos_token": {
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10 |
+
"content": "</s>",
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11 |
+
"lstrip": false,
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12 |
+
"normalized": false,
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13 |
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"rstrip": false,
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14 |
+
"single_word": false
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15 |
+
},
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16 |
+
"pad_token": {
|
17 |
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"content": "<pad>",
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18 |
+
"lstrip": false,
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19 |
+
"normalized": false,
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20 |
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"rstrip": false,
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21 |
+
"single_word": false
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22 |
+
},
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23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
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25 |
+
"lstrip": false,
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26 |
+
"normalized": false,
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27 |
+
"rstrip": false,
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28 |
+
"single_word": false
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}
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+
}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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