Updated 17 min ago · first seen 11 Sept 2026
model_01M294Z1X2M64AXARQX2D9K1KP
- Parameters
- 1.24B
- T2 · 2 h ago
- Context
- 128K tokens
- T2 · 27 min ago
- Released
- 18 Sept 2024
- T2 · 1 h ago
- License
- llama3.2
- T2 · 1 h ago
Specification
- Release date
- 18 Sept 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Status
- deprecated
Source:Artificial AnalysisT2observed 27 min agomedium
- Openness
- restricted
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 17 min agomedium
- License
- llama3.2
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Architecture
- LlamaForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Parameters
- 1.24B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Context window
- 128K tokens
Source:Artificial AnalysisT2observed 27 min agomedium
- Languages
- en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- File size
- 2.5 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Hugging Face repo
- meta-llama/Llama-3.2-1B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Downloads
- 1,226,103
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 17 min agomedium
- Likes
- 2,588
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 17 min agomedium
- Gated
- manual
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Last modified
- 2024-10-24T15:08:03+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 2 h agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads all time
- 58,993,675
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 1 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 1 h agomedium
- Weights dtype
- BF16
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 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
22
Source tiers
T222
Freshest observation
17 min 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 27 min agomedium
- Languages
- en, de, fr, it, pt, hi, es, th
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 0% | pass^1 | aa_slug=llama-3-2-instruct-1b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Artificial Analysis Intelligence Index | 4.83 | index | aa_slug=llama-3-2-instruct-1b · version=4.3 · estimated=true | — | artificialanalysis.aiT2 |
| GPQA | 19.6% | accuracy | aa_slug=llama-3-2-instruct-1b · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 5.46% | accuracy | aa_slug=llama-3-2-instruct-1b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 22.79% | accuracy | aa_slug=llama-3-2-instruct-1b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 0% | accuracy | aa_slug=llama-3-2-instruct-1b · 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 | 1.2 GB | Yes |
| Apple M3 Ultra | 4bit | — | 1.2 GB | Yes |
| Mac Studio (Apple M5 Ultra) | 4bit | — | 1.2 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 1.2 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 1.2 GB | Yes |
| Apple M2 Ultra | 4bit | — | 1.2 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 1.2 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 1.2 GB | Yes |
| NVIDIA H200 NVL | 4bit | 141 GB | 1.2 GB | Yes |
| Apple M1 Ultra | 4bit | — | 1.2 GB | Yes |
| Apple M3 Max | 4bit | — | 1.2 GB | Yes |
| Apple M4 Max | 4bit | — | 1.2 GB | Yes |
| Mac Studio (Apple M5 Max) | 4bit | — | 1.2 GB | Yes |
| MacBook Pro (Apple M5 Max) | 4bit | — | 1.2 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 1.2 GB | Yes |
| Apple M2 Max | 4bit | — | 1.2 GB | Yes |
| NVIDIA H100 NVL | 4bit | 94 GB | 1.2 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 1.2 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 1.2 GB | Yes |
| Apple M1 Max | 4bit | — | 1.2 GB | Yes |
| Apple M4 Pro | 4bit | — | 1.2 GB | Yes |
| Mac mini (Apple M5 Pro) | 4bit | — | 1.2 GB | Yes |
| MacBook Pro (Apple M5 Pro) | 4bit | — | 1.2 GB | Yes |
| Apple M3 Pro | 4bit | — | 1.2 GB | Yes |
| Apple M1 Pro | 4bit | — | 1.2 GB | Yes |
| Apple M2 Pro | 4bit | — | 1.2 GB | Yes |
| Apple M4 | 4bit | — | 1.2 GB | Yes |
| iMac (Apple M4) | 4bit | — | 1.2 GB | Yes |
| Mac mini (Apple M6) | 4bit | — | 1.2 GB | Yes |
| MacBook Air (Apple M5) | 4bit | — | 1.2 GB | Yes |
| MacBook Pro (Apple M5) | 4bit | — | 1.2 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 1.2 GB | Yes |
| Apple M2 | 4bit | — | 1.2 GB | Yes |
| Apple M3 | 4bit | — | 1.2 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 1.2 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 1.2 GB | Yes |
| Apple M1 | 4bit | — | 1.2 GB | Yes |
No lineage recorded
Papers 2
- arXiv:2204.05149Active35
- arXiv:2405.16406Active35
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 · Hugging Face repo
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B | → 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-3.2-1B: openness changed from open-weights to restricted
Opennessopen-weights→restrictedhuggingfaceLlama-3.2-1B scores 5.46% on Humanity's Last Exam
artificial_analysisLlama-3.2-1B scores 4.83 on Artificial Analysis Intelligence Index
artificial_analysisLlama-3.2-1B: 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/models?author=meta-llama&p=0&sort=downloads | listing | T2· Quality secondary | 17 min ago | 3 |
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 27 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/meta-llama/Llama-3.2-1B | model_page | T2· Quality secondary | 1 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.