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Merge pull request #101 from aifoundry-org/main
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Adding llama 3.1 model
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mdingemanse authored Aug 30, 2024
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project:
name: Llama 3.1
link: https://huggingface.co/meta-llama/Meta-Llama-3.1-405B
notes:
llmbase: Meta Llama 3
rlbase: Meta, undocumented
license: Meta Llama 3 Community License

org:
name: Facebook Research
link: https://github.com/facebookresearch
notes:

# availability:
opencode:
class: partial
link: https://github.com/meta-llama/llama3
notes: Repository only offers code for inference pipeline

llmdata:
class: closed
link:
notes: Data nowhere disclosed or documented, and described in the llama 3.1 paper as "obtained from the web"

llmweights:
class: partial
link: https://huggingface.co/meta-llama/Meta-Llama-3.1-8B
notes: Inspecting the training weights requires signing Meta Llama 3.1's bespoke 'community license', not an OSI recognised open license

rldata:
class: closed
link:
notes: No information available on instruction-tuning.

rlweights:
class: closed
link:
notes: Inspecting the training weights requires signing Meta Llama 3.1's bespoke 'community license', not an OSI recognised open license

license:
class: closed
link: https://huggingface.co/meta-llama/Meta-Llama-3.1-8B
notes: Inspecting the training weights requires signing Meta Llama 3.1's bespoke 'community license', not an OSI recognised open license

# documentation:
code:
class: partial
link:
notes: Code provide only model architecture and an inferencing pipeline examples; some files are documented.

architecture:
class: partial
link: https://ai.meta.com/research/publications/the-llama-3-herd-of-models/
notes: Architecture described in paper, energy consumtion and environmental impact disclosed in model card, but not in paper; training process not fully documented

preprint:
class: closed
link:
notes: No preprint or any other scientific documentation available.

paper:
class: closed
link:
notes: No peer-reviewed paper available.

modelcard:
class: partial
link: https://huggingface.co/meta-llama/Meta-Llama-3.1-405B
notes: There is a model card, but it does not disclose the training process

datasheet:
class: closed
link:
notes: Datasheet not provided at all

# access:
package:
class: open
link: https://pypi.org/project/llama-models/
notes: Package is provided in Pypi

api:
class: partial
link: https://www.meta.ai/?utm_source=ai_meta_site&utm_medium=web&utm_content=AI_nav&utm_campaign=April_moment
notes: API only available behind a privacy-defying signup form

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