stack-edu-classifier-python
Hugging Facehuggingface.co/HuggingFaceTB/stack-edu-classifie
Updated 1 min ago · first seen 11 Sept 2026
model_01M294YKAB1GP2XGNP6RYZZGDC
- Parameters
- 124.2M
- T2 · 29 min ago
- Released
- 23 Sept 2024
- T2 · 5 min ago
Specification
- Release date
- 23 Sept 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 29 min agomedium
- Architecture
- BertForSequenceClassification
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 min agomedium
- Parameters
- 124.2M
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 29 min agomedium
- Base model
- bigcode/starencoder
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 min agomedium
- File size
- 0.5 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 min agomedium
- Hugging Face repo
- HuggingFaceTB/stack-edu-classifier-python
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 29 min agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 29 min agomedium
- Downloads
- 31,082
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Likes
- 7
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 min agomedium
- Last modified
- 2025-02-19T10:30:49+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 29 min agomedium
- Downloads all time
- 37,144
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Model type
- bert
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 min agomedium
- Tags
- safetensors, bert, generated_from_trainer
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 min agomedium
- Weights dtype
- F32
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 5 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
16
Source tiers
T216
Freshest observation
1 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 |
Ancestors 1
- starencoderbigcode
This model
stack-edu-classifier-python
124.2M params
Quantizations 0
None recorded.
Descendants 0
None recorded.
Papers 1
- arXiv:2502.02737Active
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
Release daterelease_date1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 23 Sept 2024 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Opennessopenness1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| open-weights | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Architecturearchitecture1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| BertForSequenceClassification | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Parametersparameter_count1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 124.2M | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Base modelbase_model1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| bigcode/starencoder | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
File sizefile_size_gb1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 0.5 GB | → 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 |
|---|---|---|---|---|---|
| HuggingFaceTB/stack-edu-classifier-python | → 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/HuggingFaceTB/stack-edu-classifier-python | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloadsmetric.downloads1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 31,082 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Likesmetric.likes1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 7 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Gatedgated1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| No | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2025-02-19T10:30:49+00:00 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloads all timemetric.downloads_all_time1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 37,144 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model typemodel_type1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| bert | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Weights dtypeweights_dtype1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| F32 | → 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 →
New model: stack-edu-classifier-python (Hugging Face)
huggingface
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/HuggingFaceTB/stack-edu-classifier-python | model_page | T2· Quality secondary | 1 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=HuggingFaceTB&p=0&sort=downloads | listing | T2· Quality secondary | 27 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.