amazon/GPT-OSS-20B-P-EAGLE
Amazon Web Serviceshuggingface.co/amazon/GPT-OSS-20B-P-EAGLE
Updated 12 h ago · first seen 11 Sept 2026
model_01M294X4D6DH08BQVXZ8VRZWPF
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
Architecture
- Architecture
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Model type
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Parameters
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Weights dtype
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- File size
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Hugging Face repo
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
Hardware fit37
Assumptions (6)
- Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
- bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
- KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
- A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
- Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
- Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
Papers1
- arXiv:2602.01469Active35
Timeline1
Full timeline →New model: amazon/GPT-OSS-20B-P-EAGLE (Amazon Web Services)
huggingface
Change history16
Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Attributes as of 12 Sept 2026 20 claims in force
- Release date
- 20 Feb 2026
- Openness
- open-weights
- License
- Apache-2.0
- Architecture
- LlamaForCausalLM
- Parameters
- 1.8B
- File size
- 3.6 GB
- Hugging Face repo
- amazon/GPT-OSS-20B-P-EAGLE
- Downloads
- 368
- Likes
- 1
- Commercial use allowed
- Yes
- Derivatives allowed
- Yes
- Gated
- No
- Last modified
- 2026-05-01T22:07:24+00:00
- Downloads all time
- 4,793
- Model type
- llama
- Redistribution allowed
- Yes
- Tags
- safetensors, llama
- Weights available
- Yes
- Weights dtype
- BF16, BOOL, I64
Release daterelease_date1
Opennessopenness1
Licenselicense1
Architecturearchitecture1
Parametersparameter_count1
File sizefile_size_gb1
Hugging Face repohf_repo1
Model cardmodel_card_url1
Downloadsmetric.downloads1
Likesmetric.likes1
Gatedgated1
Last modifiedlast_modified1
Downloads all timemetric.downloads_all_time1
Model typemodel_type1
Weights dtypeweights_dtype1
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 →
Provenance
Attributed facts
16
Source tiers
T216
Freshest observation
12 h ago
Conflicts
None
Source documents 3
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (53/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →