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locuslab/
mix_ift-smollm2-360m-smollm2-360m-all_raw_folders_baseline-300B-mbs16-gbs1024-16feb-lr1e-05-gbs8

Name: mix_ift-smollm2-360m-smollm2-360m-all_raw_folders_baseline-300B-mbs16-gbs1024-16feb-lr1e-05-gbs8
Availability: InStock

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SmolLM2 smollm2-360m-all_raw_folders_baseline-300B-mbs16-gbs1024-16feb-lr1e-05-gbs8 (Version: main)

Model Details

Architecture: SmolLM2
Parameters: 360M

Training Configuration

yaml

eval:
  final_validation: false
  initial_validation: false
  interval: 10000
  max_iters: 100
optimizer:
  class_path: torch.optim.AdamW
  init_args:
    betas:
    - 0.9
    - 0.95
    lr: 0.003
    weight_decay: 0.033
precision: bf16-mixed
seed: 42
train:
  global_batch_size: 1024
  log_interval: 10
  lr_warmup_steps: 2000
  max_norm: 1.0
  max_seq_length: 2048
  max_tokens: 300000000000
  micro_batch_size: 16
  min_lr: 0
  save_interval: 30000
  tie_embeddings: false

Model Loading and Revision System

This repository hosts multiple revisions of the model. To load a specific revision, use the revision parameter. For example:

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("locuslab/mix_ift-smollm2-360m-smollm2-360m-all_raw_folders_baseline-300B-mbs16-gbs1024-16feb-lr1e-05-gbs8", revision="final")
tokenizer = AutoTokenizer.from_pretrained("locuslab/mix_ift-smollm2-360m-smollm2-360m-all_raw_folders_baseline-300B-mbs16-gbs1024-16feb-lr1e-05-gbs8", revision="final")

Replace "final" with the desired revision.