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pythia-160m

EleutherAIhuggingface.co/EleutherAI/pythia-160m

Open in Graph
data quality53

Updated 10 h ago · first seen 11 Sept 2026

model_01M294YACWFM7M2WBTD2BX5YCM

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 15 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 16 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 16 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 16 h agomedium

Capabilities

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.

Languages

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Hardware fit37

Estimated

37 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—0.6 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—0.6 GB est.Yes
Apple M2 Ultra4bit—0.6 GB est.Yes
Apple M1 Ultra4bit—0.6 GB est.Yes
Apple M3 Max4bit—0.6 GB est.Yes
Apple M4 Max4bit—0.6 GB est.Yes
Mac Studio (Apple M5 Max)4bit—0.6 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—0.6 GB est.Yes
Apple M2 Max4bit—0.6 GB est.Yes
Apple M1 Max4bit—0.6 GB est.Yes
Apple M4 Pro4bit—0.6 GB est.Yes
Mac mini (Apple M5 Pro)4bit—0.6 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—0.6 GB est.Yes
Apple M3 Pro4bit—0.6 GB est.Yes
Apple M1 Pro4bit—0.6 GB est.Yes
Apple M2 Pro4bit—0.6 GB est.Yes
Apple M44bit—0.6 GB est.Yes
iMac (Apple M4)4bit—0.6 GB est.Yes
Mac mini (Apple M6)4bit—0.6 GB est.Yes
MacBook Air (Apple M5)4bit—0.6 GB est.Yes
MacBook Pro (Apple M5)4bit—0.6 GB est.Yes
Apple M24bit—0.6 GB est.Yes
Apple M34bit—0.6 GB est.Yes
Apple M14bit—0.6 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB0.6 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB0.6 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB0.6 GB est.Yes
NVIDIA A100 80GB4bit80 GB0.6 GB est.Yes
NVIDIA H100 SXM4bit80 GB0.6 GB est.Yes
NVIDIA H100 NVL4bit94 GB0.6 GB est.Yes
NVIDIA DGX Spark4bit128 GB0.6 GB est.Yes
NVIDIA H2004bit141 GB0.6 GB est.Yes
NVIDIA H200 NVL4bit141 GB0.6 GB est.Yes
NVIDIA B2004bit180 GB0.6 GB est.Yes
AMD Instinct MI300X4bit192 GB0.6 GB est.Yes
AMD Instinct MI325X4bit256 GB0.6 GB est.Yes
NVIDIA DGX B2004bit1,440 GB0.6 GB est.Yes
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).

Papers3

Datasets1

Timeline1

Full timeline →

Change history20

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 1 Jan 2024 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

pythia-160m was not yet in AI Atlas on 1 Jan 2024

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
20 claims · 20 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
8 Feb 2023 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

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ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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ValueValid from → toStatusSourceConfidenceExtractor
apache-2.0 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
GPTNeoXForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
212.7M → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Languageslanguages1

Claim history for Languages
ValueValid from → toStatusSourceConfidenceExtractor
en → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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ValueValid from → toStatusSourceConfidenceExtractor
0.4 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
EleutherAI/pythia-160m → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/EleutherAI/pythia-160m → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
3,400,230 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
45 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Datasetsdatasets1

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ValueValid from → toStatusSourceConfidenceExtractor
EleutherAI/pile → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Gatedgated1

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ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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ValueValid from → toStatusSourceConfidenceExtractor
2023-07-09T15:52:09+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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ValueValid from → toStatusSourceConfidenceExtractor
25,170,353 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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ValueValid from → toStatusSourceConfidenceExtractor
gpt_neox → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers, pytorch, safetensors, gpt_neox, text-generation, causal-lm, pythia, en → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
F16, U8 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

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

20

Source tiers

T220

Freshest observation

10 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/EleutherAI/pythia-160m/raw/main/README.md model_cardT2· Quality secondary9 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/EleutherAI/pythia-160m model_pageT2· Quality secondary10 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=EleutherAI&p=0&sort=downloads listingT2· Quality secondary10 h ago6

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 →