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Llama-3.1-405B

Meta AIhuggingface.co/meta-llama/Llama-3.1-405B

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data quality59

Updated 7 h ago · first seen 11 Sept 2026

model_01M294Z1XNQT2S8S72NR3TQ9J9

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Capabilities

Modalities

Modalities unavailable.

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    No

    Artificial Analysis · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:Artificial AnalysisT2observed 12 h agomedium

Languages

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Hardware fit37

Estimated

4 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit233.9 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit233.9 GB est.Yes
AMD Instinct MI325X4bit256 GB233.9 GB est.Yes
NVIDIA DGX B2004bit1,440 GB233.9 GB est.Yes
Apple M2 Ultra4bit233.9 GB est.No
Apple M1 Ultra4bit233.9 GB est.No
Apple M3 Max4bit233.9 GB est.No
Apple M4 Max4bit233.9 GB est.No
Mac Studio (Apple M5 Max)4bit233.9 GB est.No
MacBook Pro (Apple M5 Max)4bit233.9 GB est.No
Apple M2 Max4bit233.9 GB est.No
Apple M1 Max4bit233.9 GB est.No
Apple M4 Pro4bit233.9 GB est.No
Mac mini (Apple M5 Pro)4bit233.9 GB est.No
MacBook Pro (Apple M5 Pro)4bit233.9 GB est.No
Apple M3 Pro4bit233.9 GB est.No
Apple M1 Pro4bit233.9 GB est.No
Apple M2 Pro4bit233.9 GB est.No
Apple M44bit233.9 GB est.No
iMac (Apple M4)4bit233.9 GB est.No
Mac mini (Apple M6)4bit233.9 GB est.No
MacBook Air (Apple M5)4bit233.9 GB est.No
MacBook Pro (Apple M5)4bit233.9 GB est.No
Apple M24bit233.9 GB est.No
Apple M34bit233.9 GB est.No
Apple M14bit233.9 GB est.No
NVIDIA GeForce RTX 30904bit24 GB233.9 GB est.No
NVIDIA GeForce RTX 40904bit24 GB233.9 GB est.No
NVIDIA GeForce RTX 50904bit32 GB233.9 GB est.No
NVIDIA A100 80GB4bit80 GB233.9 GB est.No
NVIDIA H100 SXM4bit80 GB233.9 GB est.No
NVIDIA H100 NVL4bit94 GB233.9 GB est.No
NVIDIA DGX Spark4bit128 GB233.9 GB est.No
NVIDIA H2004bit141 GB233.9 GB est.No
NVIDIA H200 NVL4bit141 GB233.9 GB est.No
NVIDIA B2004bit180 GB233.9 GB est.No
AMD Instinct MI300X4bit192 GB233.9 GB est.No
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Papers1

Change history23

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 1 Jan 2025 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Llama-3.1-405B was not yet in AI Atlas on 1 Jan 2025

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
23 claims · 21 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
16 Jul 2024currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness3

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ValueValid from → toStatusSourceConfidenceExtractor
restrictedcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
open-weightssupersededArtificial AnalysisT2mediumdeterministic
restrictedsupersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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ValueValid from → toStatusSourceConfidenceExtractor
llama3.1currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
LlamaForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
405.9BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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ValueValid from → toStatusSourceConfidenceExtractor
128K tokenscurrentcurrentArtificial AnalysisT2mediumdeterministic

Languageslanguages1

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ValueValid from → toStatusSourceConfidenceExtractor
en, de, fr, it, pt, hi, es, thcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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ValueValid from → toStatusSourceConfidenceExtractor
811.7 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
meta-llama/Llama-3.1-405BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/meta-llama/Llama-3.1-405BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
121,656currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
987currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Gatedgated1

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ValueValid from → toStatusSourceConfidenceExtractor
manualcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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ValueValid from → toStatusSourceConfidenceExtractor
2024-09-25T17:01:49+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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ValueValid from → toStatusSourceConfidenceExtractor
transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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ValueValid from → toStatusSourceConfidenceExtractor
21,272,733currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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ValueValid from → toStatusSourceConfidenceExtractor
llamacurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Reasoningreasoning1

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ValueValid from → toStatusSourceConfidenceExtractor
NocurrentcurrentArtificial AnalysisT2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, llama, text-generation, facebook, meta, pytorch, llama-3, en, de, fr, it, pt, hi, es, thcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

21

Source tiers

T221

Freshest observation

7 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/meta-llama/Llama-3.1-405B model_pageT2· Quality secondary7 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=meta-llama&p=0&sort=downloads listingT2· Quality secondary8 h ago6
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary12 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (59/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →