evaluation.yaml

# Config for EleutherEvalRecipe in eleuther_eval.py
#
# To launch, run the following command:
#    tune run eleuther_eval --config code_llama2/evaluation

# Model arguments
model:
  _component_: torchtune.models.code_llama2.code_llama2_7b

# Tokenizer
tokenizer:
  _component_: torchtune.models.llama2.llama2_tokenizer
  path: /tmp/CodeLlama-7b-hf/tokenizer.model
  max_seq_len: null

# Checkpointer
checkpointer:
  _component_: torchtune.training.FullModelHFCheckpointer
  checkpoint_dir: /tmp/CodeLlama-7b-hf
  checkpoint_files: [
    pytorch_model-00001-of-00003.bin,
    pytorch_model-00002-of-00003.bin,
    pytorch_model-00003-of-00003.bin
  ]
  recipe_checkpoint: null
  output_dir: ${output_dir}
  model_type: LLAMA2
resume_from_checkpoint: False

# Environment
device: cpu
dtype: bf16
seed: 1234 # It is not recommended to change this seed, b/c it matches EleutherAI's default seed

# EleutherAI specific eval args
tasks: ["truthfulqa_mc2"]
limit: null
max_seq_length: 4096
batch_size: 8
enable_kv_cache: True

# Quantization specific args
quantizer: null