Updated 22 min ago · first seen 11 Sept 2026
model_01M294YGBXTWZBN2KPCX6GG65V
- Parameters
- 231.3M
- T2 · 24 min ago
Specification
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 24 min agomedium
- Parameters
- 231.3M
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 24 min agomedium
- Hugging Face repo
- google/timesfm-2.5-200m-pytorch
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 24 min agomedium
- Pipeline tag
- time-series-forecasting
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 24 min agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 24 min agomedium
- Downloads
- 1,843,790
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 22 min agomedium
- Likes
- 263
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 22 min agomedium
- Last modified
- 2025-10-02T17:21:38+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 24 min 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
8
Source tiers
T28
Freshest observation
22 min 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 0
No papers linked yet.
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
Opennessopenness1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| open-weights | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Parametersparameter_count1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 231.3M | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| google/timesfm-2.5-200m-pytorch | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Pipeline tagpipeline_tag1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| time-series-forecasting | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model cardmodel_card_url1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| https://huggingface.co/google/timesfm-2.5-200m-pytorch | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloadsmetric.downloads1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 1,843,790 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Likesmetric.likes1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 263 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2025-10-02T17:21:38+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 →
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=google&p=0&sort=downloads | listing | T2· Quality secondary | 22 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.