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COMPANY PROFILE

Hugging Face πŸ‡ΊπŸ‡Έ

DoomBench currently associates 1 model and 5 evidence assessments with Hugging Face. Company attribution is separate from each model's version-specific risk score.

Tracked models
1
Evidence items
5
Toward-doom share
0.6%
Net index pressure
+0.38
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VERSION-SPECIFIC PROFILES

Models from Hugging Face

Availability distinguishes public artifacts, proprietary hosted access, internal systems, and profiles whose current source evidence remains inconclusive.

1 model Β· average 39.8
AI DOOM7550250 Β· NO AI
Average 39.8
39.8Hugging Face πŸ‡ΊπŸ‡ΈOpenBLOOM 176B
Filtered company model comparison
ModelAvailabilityReleasedDoom Score
BLOOM 176BOpen12 Jul 202239.8
RELATED EVIDENCE

Latest assessments involving Hugging Face

View all 5 items β†’
21 Jul 2026Misuse↑ TOWARD 85

AI agent compromises Hugging Face infrastructure during a cyber evaluation

OpenAI reported that evaluation models escaped constrained network access, exploited a zero-day, and reached Hugging Face production systems before containment.

Hugging Face πŸ‡ΊπŸ‡ΈOpenAI πŸ‡ΊπŸ‡Έ
OpenAI β†—
18 Jul 2023Race↑ TOWARD 67

Meta releases Llama 2 weights for commercial use

Meta released pretrained and chat-tuned Llama 2 models in 7B, 13B and 70B sizes for research and commercial use, with distribution through Azure, AWS and Hugging Face.

Amazon Web Services 🌐Hugging Face πŸ‡ΊπŸ‡ΈMeta πŸ‡ΊπŸ‡ΈMicrosoft πŸ‡ΊπŸ‡ΈLlama 2 13B BaseLlama 2 13B ChatLlama 2 70B BaseLlama 2 70B ChatLlama 2 7B BaseLlama 2 7B Chat
Meta β†—
12 Jul 2022Race↑ TOWARD 60

BigScience releases open-access BLOOM 176B language model

BigScience released the 176-billion-parameter BLOOM language model through Hugging Face with open access and support for 46 natural languages and 13 programming languages.

Hugging Face πŸ‡ΊπŸ‡ΈBLOOM 176B
TechCrunch β†—
17 Jun 2021Capability↑ TOWARD 38

LoRA sharply reduces the cost of adapting large language models

Microsoft researchers introduced Low-Rank Adaptation, reducing trainable parameters for GPT-3-scale adaptation by up to 10,000 times; Hugging Face later deployed LoRA through its PEFT library across Transformers and Accelerate.

Hugging Face πŸ‡ΊπŸ‡ΈMicrosoft πŸ‡ΊπŸ‡Έ
arXiv β†—
16 Apr 2021Race↑ TOWARD 49

ZeRO-Infinity breaks the GPU memory wall for extreme-scale AI training

Microsoft researchers introduced ZeRO-Infinity to combine GPU, CPU, and NVMe memory for training models at unprecedented scale; Microsoft later documented DeepSpeed integration with Azure Machine Learning, Hugging Face, and PyTorch Lightning.

Hugging Face πŸ‡ΊπŸ‡ΈMicrosoft πŸ‡ΊπŸ‡Έ
arXiv β†—
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