Updated 1 h ago · first seen 11 Sept 2026
model_01M294Z1XNQT2S8S72NR3TQ9J9
- Parameters
- 405.9B
- T2 · 4 h ago
- Context
- 128K tokens
- T2 · 2 h ago
- Released
- 16 Jul 2024
- T2 · 3 h ago
- License
- llama3.1
- T2 · 3 h ago
Specification
- Release date
- 16 Jul 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Openness
- restricted
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- License
- llama3.1
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Architecture
- LlamaForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Parameters
- 405.9B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium
- Context window
- 128K tokens
Source:Artificial AnalysisT2observed 2 h agomedium
- Languages
- en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- File size
- 811.7 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Hugging Face repo
- meta-llama/Llama-3.1-405B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium
- Downloads
- 121,656
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Likes
- 987
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Gated
- manual
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Last modified
- 2024-09-25T17:01:49+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Downloads all time
- 21,272,733
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Model type
- llama
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Tags
- transformers, safetensors, llama, text-generation, facebook, meta, pytorch, llama-3, en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
- Weights dtype
- BF16
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
21
Source tiers
T221
Freshest observation
1 h ago
Conflicts
None
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
- 128K tokens
Source:Artificial AnalysisT2observed 2 h agomedium
- Languages
- en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 19.01% | pass^1 | aa_slug=llama-3-1-instruct-405b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Artificial Analysis Intelligence Index | 7.29 | index | aa_slug=llama-3-1-instruct-405b · version=4.3 · estimated=true | — | artificialanalysis.aiT2 |
| GPQA | 51.52% | accuracy | aa_slug=llama-3-1-instruct-405b · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 3.98% | accuracy | aa_slug=llama-3-1-instruct-405b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 39.05% | accuracy | aa_slug=llama-3-1-instruct-405b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 6.82% | accuracy | aa_slug=llama-3-1-instruct-405b · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
No current prices recorded
Price history
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| NVIDIA DGX B200 | 4bit | 1,440 GB | 233.9 GB | Yes |
| Apple M3 Ultra | 4bit | — | 233.9 GB | Yes |
| Mac Studio (Apple M5 Ultra) | 4bit | — | 233.9 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 233.9 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 233.9 GB | No |
| Apple M2 Ultra | 4bit | — | 233.9 GB | No |
| NVIDIA B200 | 4bit | 180 GB | 233.9 GB | No |
| NVIDIA H200 | 4bit | 141 GB | 233.9 GB | No |
| NVIDIA H200 NVL | 4bit | 141 GB | 233.9 GB | No |
| Apple M1 Ultra | 4bit | — | 233.9 GB | No |
| Apple M3 Max | 4bit | — | 233.9 GB | No |
| Apple M4 Max | 4bit | — | 233.9 GB | No |
| Mac Studio (Apple M5 Max) | 4bit | — | 233.9 GB | No |
| MacBook Pro (Apple M5 Max) | 4bit | — | 233.9 GB | No |
| NVIDIA DGX Spark | 4bit | 128 GB | 233.9 GB | No |
| Apple M2 Max | 4bit | — | 233.9 GB | No |
| NVIDIA H100 NVL | 4bit | 94 GB | 233.9 GB | No |
| NVIDIA A100 80GB | 4bit | 80 GB | 233.9 GB | No |
| NVIDIA H100 SXM | 4bit | 80 GB | 233.9 GB | No |
| Apple M1 Max | 4bit | — | 233.9 GB | No |
| Apple M4 Pro | 4bit | — | 233.9 GB | No |
| Mac mini (Apple M5 Pro) | 4bit | — | 233.9 GB | No |
| MacBook Pro (Apple M5 Pro) | 4bit | — | 233.9 GB | No |
| Apple M3 Pro | 4bit | — | 233.9 GB | No |
| Apple M1 Pro | 4bit | — | 233.9 GB | No |
| Apple M2 Pro | 4bit | — | 233.9 GB | No |
| Apple M4 | 4bit | — | 233.9 GB | No |
| iMac (Apple M4) | 4bit | — | 233.9 GB | No |
| Mac mini (Apple M6) | 4bit | — | 233.9 GB | No |
| MacBook Air (Apple M5) | 4bit | — | 233.9 GB | No |
| MacBook Pro (Apple M5) | 4bit | — | 233.9 GB | No |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 233.9 GB | No |
| Apple M2 | 4bit | — | 233.9 GB | No |
| Apple M3 | 4bit | — | 233.9 GB | No |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 233.9 GB | No |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 233.9 GB | No |
| Apple M1 | 4bit | — | 233.9 GB | No |
No lineage recorded
Papers 1
- arXiv:2204.05149Active35
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Last modified
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2024-09-25T17:01:49+00:00 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
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 →
Llama-3.1-405B: openness changed from open-weights to restricted
Opennessopen-weights→restrictedhuggingfaceLlama-3.1-405B scores 6.82% on Terminal-Bench
artificial_analysisLlama-3.1-405B scores 19.01% on τ²-bench
artificial_analysisLlama-3.1-405B scores 39.05% on IFBench
artificial_analysisLlama-3.1-405B scores 3.98% on Humanity's Last Exam
artificial_analysisLlama-3.1-405B scores 7.29 on Artificial Analysis Intelligence Index
artificial_analysisLlama-3.1-405B: openness changed from restricted to open-weights
Opennessrestricted→open-weightsartificial_analysis
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/meta-llama/Llama-3.1-405B | model_page | T2· Quality secondary | 1 h ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=meta-llama&p=0&sort=downloads | listing | T2· Quality secondary | 2 h ago | 3 |
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 2 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.