main-database/MobileLLM.yaml at preview · Language-Technology-Assessment/main-database · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
---
# Thank you for contributing!
# In filling out this yaml file, please follow the criteria as described here:
# https://osai-index.eu/contribute

# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
# stipulation that attribution should come in the form of a link to https://osai-index.eu/
# and a citation to the peer-reviewed paper in which the dataset & criteria were published:

# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).

# Organization tags:
# - National origin: United States
# - Contributor type: Non-academic (American Big Tech)

system:
    name: MobileLLM
    link: https://huggingface.co/facebook/MobileLLM-R1.5-950M
    type: text,code
    performanceclass: full
    basemodelname: MobileLLM-R1-950M-base
    endmodelname: MobileLLM-R1.5-950M
    endmodellicense: FAIR Noncommercial Research License v1
    releasedate: 2025-10
    notes: Small reasoning model.

org:
    name: Meta
    link: https://ai.meta.com/
    notes: Meta, a major technology company.

# availability:
datasources_basemodel:
    class: open
    link: https://huggingface.co/facebook/MobileLLM-R1-950M
    notes: Datasources listed on model card.

datasources_endmodel:
    class: open
    link: https://huggingface.co/facebook/MobileLLM-R1-950M
    notes: Datasources listed on model card.

weights_basemodel:
    class: partial
    link: https://huggingface.co/facebook/MobileLLM-R1-950M-base
    notes: Gated model available on HuggingFace.

weights_endmodel:
    class: partial
    link: https://huggingface.co/facebook/MobileLLM-R1.5-950M/
    notes: Gated model available on HuggingFace.

trainingcode:
    class: open
    link: https://github.com/facebookresearch/MobileLLM
    notes: Repo containing training code available on GitHub.

# documentation:
code:
    class: open
    link: https://github.com/facebookresearch/MobileLLM
    notes: Repository is well-documented.

hardware_architecture:
    class: open
    link: ["https://arxiv.org/pdf/2402.14905", "https://huggingface.co/facebook/MobileLLM-R1.5-950M"]
    notes: Hardware architecture described in preprint and on GitHub.

preprint:
    class: open
    link: https://arxiv.org/pdf/2402.14905
    notes: Preprint made available on arXiv.

paper:
    class: open
    link: https://dl.acm.org/doi/10.5555/3692070.3693386
    notes: Paper published in ICML.

modelcard:
    class: open
    link: https://huggingface.co/facebook/MobileLLM-R1.5-950M
    notes: Model card provides the requisite information.

datasheet:
    class: closed
    link:
    notes: No datasheet found.

# access:
licenses:
    class: closed
    link: https://huggingface.co/facebook/MobileLLM-R1.5-950M
    notes: FAIR Noncommercial Research License v1, not an OSI recognised open license.