Update main README with loading instructions
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README.md
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---
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version:
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family: smollm2-1.7b
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model_name: all_raw_folders_metadata-600B
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license: mit
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- transformer
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- smollm2
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# SmolLM2 all_raw_folders_metadata-600B (Version:
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## Model Details
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- **Architecture:** SmolLM2
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## Training Configuration
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```yaml
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lm_head_bias: false
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mlp_class_name: LLaMAMLP
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n_embd: 2048
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n_expert: 0
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n_expert_per_token: 0
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n_head: 32
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n_layer: 24
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n_query_groups: 32
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name: SmolLM2-1.7B
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norm_class_name: RMSNorm
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norm_eps: 1.0e-05
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norm_qk: false
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padded_vocab_size: 49152
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padding_multiple: 512
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parallel_residual: false
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post_attention_norm: false
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post_mlp_norm: false
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rope_adjustments: null
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rope_base: 130000
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rope_condense_ratio: 1
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rotary_percentage: 1.0
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scale_embeddings: false
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shared_attention_norm: false
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sliding_window_layer_placing: null
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sliding_window_size: null
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vocab_size: 49152
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```
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---
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version: main
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family: smollm2-1.7b
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model_name: all_raw_folders_metadata-600B
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license: mit
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- transformer
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- smollm2
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---
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# SmolLM2 all_raw_folders_metadata-600B (Version: main)
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## Model Details
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- **Architecture:** SmolLM2
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## Training Configuration
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```yaml
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optimizer:
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class_path: torch.optim.AdamW
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init_args:
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lr: 0.0005
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weight_decay: 0.01
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precision: bf16-mixed
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seed: 42
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train:
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global_batch_size: 1024
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max_seq_length: 2048
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max_tokens: 600000000000
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micro_batch_size: 8
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```
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## Model Loading and Revision System
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This repository hosts multiple revisions of the model.
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To load a specific revision, use the `revision` parameter. For example:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("locuslab/all_raw_folders_metadata-600B", revision="final")
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tokenizer = AutoTokenizer.from_pretrained("locuslab/all_raw_folders_metadata-600B", revision="final")
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```
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Replace `"final"` with the desired revision.
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