meta-llama AI Tools & Models — Trust Analysis 2026

meta-llama publishes 54 AI assets on Nerq with an average Trust Score of 53/100. Total: 65.2K stars, 7.1M downloads. Asset types: 41 models · 8 spaces · 5 tools. Last analyzed April 2026.

54
Assets
53
Avg Trust
65.2K
Total Stars
7.1M
Downloads

All Assets by meta-llama

NameTypeTrustStarsDownloads
Llama-3.1-8B-Instructmodel555.5K5.9M
Llama-3.1-8Bmodel552.1K1.2M
meta-llamamodel5006
llama-cookbooktool7318.2K0
Meta-Llama-3-8Bmodel546.5K0
Llama-2-7b-chat-hfmodel544.7K0
Meta-Llama-3-8B-Instructmodel604.4K0
PurpleLlamatool714.0K0
Llama-3.3-70B-Instructmodel542.7K0
Llama-3.2-1Bmodel542.3K0
Llama-2-7b-hfmodel542.3K0
Llama-2-70b-chat-hfmodel542.2K0
Llama-3.2-3B-Instructmodel542.0K0
Llama-3.2-11B-Vision-Instructmodel541.6K0
Llama-3.2-1B-Instructmodel561.3K0
Llama-4-Scout-17B-16E-Instructmodel601.2K0
Llama-3.1-405Bmodel529610
Llama-3.1-70B-Instructmodel528910
prompt-opstool697710
Llama-4-Maverick-17B-128E-Instructtool584620
Llama-3.1-70Bmodel514060
Prompt-Guard-86Mtool603090
Llama-Guard-3-8Bmodel522670
Llama-3.1-405B-Instruct-FP8model511930
Llama-4-Maverick-17B-128E-Instruct-FP8model551530
META-LLAMAmodel5310
meta-llamaspace5310
meta-llamamodel4900
meta-llamamodel4900
meta-llamamodel5000
Meta-LLamamodel5000
meta-llamaspace5000
meta-llamaspace5000
meta-llamamodel5000
meta-llamamodel5000
meta-llamamodel5000
meta-llamamodel5000
meta-llamamodel4900
meta-llamamodel5000
Meta-Llamamodel5100
meta-llamamodel5100
meta-llamamodel4900
meta-llamaspace5100
meta-llamaspace5100
meta-llamaspace5000
meta-llamaspace5000
meta-llamamodel4900
meta-llamaspace5000
Meta-LLamamodel5000
meta-llamamodel4900

Showing top 50 of 54 assets.

Frequently Asked Questions

What AI tools does meta-llama publish?
meta-llama has 54 AI assets on Nerq: 41 models · 8 spaces · 5 tools.
Are meta-llama's tools safe?
Average Trust Score across all meta-llama assets: 53/100.
What is meta-llama's most popular tool?
The most popular asset is meta-llama/Llama-3.1-8B-Instruct with 5.9M downloads.

Disclaimer: Nerq trust scores are automated assessments. Not endorsements. Last updated April 2026.

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