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get-ml-model-llama2

Automatically generated README for this automation recipe: get-ml-model-llama2

Category: AI/ML models

License: Apache 2.0

  • CM meta description for this script: _cm.json
  • Output cached? True

Reuse this script in your project

Install MLCommons CM automation meta-framework

Pull CM repository with this automation recipe (CM script)

cm pull repo mlcommons@cm4mlops

cmr "get raw ml-model language-processing llama2 llama2-70b text-summarization" --help

Run this script

Run this script via CLI
cm run script --tags=get,raw,ml-model,language-processing,llama2,llama2-70b,text-summarization[,variations] [--input_flags]
Run this script via CLI (alternative)
cmr "get raw ml-model language-processing llama2 llama2-70b text-summarization [variations]" [--input_flags]
Run this script from Python
import cmind

r = cmind.access({'action':'run'
              'automation':'script',
              'tags':'get,raw,ml-model,language-processing,llama2,llama2-70b,text-summarization'
              'out':'con',
              ...
              (other input keys for this script)
              ...
             })

if r['return']>0:
    print (r['error'])
Run this script via Docker (beta)
cm docker script "get raw ml-model language-processing llama2 llama2-70b text-summarization[variations]" [--input_flags]

Variations

  • No group (any combination of variations can be selected)

    Click here to expand this section.

    • _batch_size.#
      • ENV variables:
        • CM_ML_MODEL_BATCH_SIZE: #

  • Group "framework"

    Click here to expand this section.

    • _pytorch (default)
      • ENV variables:
        • CM_ML_MODEL_FRAMEWORK: pytorch

  • Group "huggingface-stub"

    Click here to expand this section.

    • _meta-llama/Llama-2-70b-chat-hf (default)
      • ENV variables:
        • CM_GIT_CHECKOUT_FOLDER: Llama-2-70b-chat-hf
        • CM_MODEL_ZOO_ENV_KEY: LLAMA2
    • _meta-llama/Llama-2-7b-chat-hf
      • ENV variables:
        • CM_GIT_CHECKOUT_FOLDER: Llama-2-7b-chat-hf
        • CM_MODEL_ZOO_ENV_KEY: LLAMA2
    • _stub.#
      • ENV variables:
        • CM_MODEL_ZOO_ENV_KEY: LLAMA2

  • Group "precision"

    Click here to expand this section.

    • _fp32 (default)
      • ENV variables:
        • CM_ML_MODEL_INPUT_DATA_TYPES: fp32
        • CM_ML_MODEL_PRECISION: fp32
        • CM_ML_MODEL_WEIGHT_DATA_TYPES: fp32
    • _int8
      • ENV variables:
        • CM_ML_MODEL_INPUT_DATA_TYPES: int8
        • CM_ML_MODEL_PRECISION: int8
        • CM_ML_MODEL_WEIGHT_DATA_TYPES: int8
    • _uint8
      • ENV variables:
        • CM_ML_MODEL_INPUT_DATA_TYPES: uint8
        • CM_ML_MODEL_PRECISION: uint8
        • CM_ML_MODEL_WEIGHT_DATA_TYPES: uint8
Default variations

_fp32,_meta-llama/Llama-2-70b-chat-hf,_pytorch

Script flags mapped to environment

  • --checkpoint=value → LLAMA2_CHECKPOINT_PATH=value

Script output

cmr "get raw ml-model language-processing llama2 llama2-70b text-summarization [variations]" [--input_flags] -j