Updated 1 h ago · first seen 11 Sept 2026
model_01M294X4BX8YE9FTER8TPNQZSB
- Parameters
- 201.4M
- T2 · 1 h ago
- Released
- 21 Feb 2024
- T2 · 1 h ago
- License
- apache-2.0
- T2 · 1 h ago
Specification
- Release date
- 21 Feb 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- License
- apache-2.0
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Architecture
- T5ForConditionalGeneration
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Parameters
- 201.4M
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- File size
- 0.8 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Hugging Face repo
- amazon/chronos-t5-base
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Pipeline tag
- time-series-forecasting
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads
- 494,565
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Likes
- 45
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Last modified
- 2025-11-21T12:56:17+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Library name
- chronos-forecasting
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Downloads all time
- 22,038,186
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Model type
- t5
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Tags
- chronos-forecasting, safetensors, t5, time series, forecasting, pretrained models, foundation models, time series foundation models, time-series, time-series-forecasting
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
- Weights dtype
- F32
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
18
Source tiers
T218
Freshest observation
1 h ago
Conflicts
None
Modalities
Modalities unavailable.
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No capability flags have been observed from a source yet — we do not infer them.
No structured attributes yet.
No benchmark results recorded
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 |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 0.6 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 0.6 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 0.6 GB | Yes |
| Apple M2 Ultra | 4bit | — | 0.6 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 0.6 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 0.6 GB | Yes |
| Apple M1 Ultra | 4bit | — | 0.6 GB | Yes |
| Apple M3 Max | 4bit | — | 0.6 GB | Yes |
| Apple M4 Max | 4bit | — | 0.6 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 0.6 GB | Yes |
| Apple M2 Max | 4bit | — | 0.6 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 0.6 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 0.6 GB | Yes |
| Apple M1 Max | 4bit | — | 0.6 GB | Yes |
| Apple M4 Pro | 4bit | — | 0.6 GB | Yes |
| Apple M3 Pro | 4bit | — | 0.6 GB | Yes |
| Apple M1 Pro | 4bit | — | 0.6 GB | Yes |
| Apple M2 Pro | 4bit | — | 0.6 GB | Yes |
| Apple M4 | 4bit | — | 0.6 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 0.6 GB | Yes |
| Apple M2 | 4bit | — | 0.6 GB | Yes |
| Apple M3 | 4bit | — | 0.6 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 0.6 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 0.6 GB | Yes |
| Apple M1 | 4bit | — | 0.6 GB | Yes |
No lineage recorded
Papers 2
- arXiv:1910.10683Active35
- arXiv:2403.07815Active35
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 · Tags
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 →
New model: chronos-t5-base (Amazon Web Services)
huggingface
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/amazon/chronos-t5-base/raw/main/README.md | model_card | T2· Quality secondary | 18 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/amazon/chronos-t5-base | model_page | T2· Quality secondary | 1 h ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=amazon&p=0&sort=downloads | listing | T2· Quality secondary | 1 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.