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ModelActiveIdentity probable
data quality47

Updated 3 h ago · first seen 12 Sept 2026

model_01M2AS5MA9NZCRR49EB2930393

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
None recorded
API aliases
NoneIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

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 3 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 4 h agomedium

Hardware fit37

Estimated

37 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit2.5 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit2.5 GB est.Yes
Apple M2 Ultra4bit2.5 GB est.Yes
Apple M1 Ultra4bit2.5 GB est.Yes
Apple M3 Max4bit2.5 GB est.Yes
Apple M4 Max4bit2.5 GB est.Yes
Mac Studio (Apple M5 Max)4bit2.5 GB est.Yes
MacBook Pro (Apple M5 Max)4bit2.5 GB est.Yes
Apple M2 Max4bit2.5 GB est.Yes
Apple M1 Max4bit2.5 GB est.Yes
Apple M4 Pro4bit2.5 GB est.Yes
Mac mini (Apple M5 Pro)4bit2.5 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit2.5 GB est.Yes
Apple M3 Pro4bit2.5 GB est.Yes
Apple M1 Pro4bit2.5 GB est.Yes
Apple M2 Pro4bit2.5 GB est.Yes
Apple M44bit2.5 GB est.Yes
iMac (Apple M4)4bit2.5 GB est.Yes
Mac mini (Apple M6)4bit2.5 GB est.Yes
MacBook Air (Apple M5)4bit2.5 GB est.Yes
MacBook Pro (Apple M5)4bit2.5 GB est.Yes
Apple M24bit2.5 GB est.Yes
Apple M34bit2.5 GB est.Yes
Apple M14bit2.5 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB2.5 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB2.5 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB2.5 GB est.Yes
NVIDIA A100 80GB4bit80 GB2.5 GB est.Yes
NVIDIA H100 SXM4bit80 GB2.5 GB est.Yes
NVIDIA H100 NVL4bit94 GB2.5 GB est.Yes
NVIDIA DGX Spark4bit128 GB2.5 GB est.Yes
NVIDIA H2004bit141 GB2.5 GB est.Yes
NVIDIA H200 NVL4bit141 GB2.5 GB est.Yes
NVIDIA B2004bit180 GB2.5 GB est.Yes
AMD Instinct MI300X4bit192 GB2.5 GB est.Yes
AMD Instinct MI325X4bit256 GB2.5 GB est.Yes
NVIDIA DGX B2004bit1,440 GB2.5 GB est.Yes
Assumptions (7)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded).
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache: 2 × layers × kv_heads × head_dim × 2 bytes × context × batch when the architecture is known; otherwise 0.5 GB per 8 192 tokens (× batch), 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).
  • Multi-GPU: device memories are summed; interconnect bandwidth, tensor-parallel replication and pipeline bubbles are not modelled.

Versions & Artifacts0

Version history

Parametersfirst observation only

12 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Papers1

Change history18

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
18 claims · 18 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
29 Oct 2025currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

Claim history for Architecture
ValueValid from → toStatusSourceConfidenceExtractor
Step1ForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
3.53BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Quantization formatquant_format1

Claim history for Quantization format
ValueValid from → toStatusSourceConfidenceExtractor
onnxcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
7.1 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
stepfun-ai/Step-Audio-EditXcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

Claim history for Model card
ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/stepfun-ai/Step-Audio-EditXcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

Claim history for Downloads
ValueValid from → toStatusSourceConfidenceExtractor
4,183currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

Claim history for Likes
ValueValid from → toStatusSourceConfidenceExtractor
141currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Accessaccess1

Claim history for Access
ValueValid from → toStatusSourceConfidenceExtractor
opencurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Artifact kindartifact_kind1

Claim history for Artifact kind
ValueValid from → toStatusSourceConfidenceExtractor
quantizationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Is quantizedis_quantized1

Claim history for Is quantized
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

Claim history for Last modified
ValueValid from → toStatusSourceConfidenceExtractor
2026-02-14T09:34:10+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
ValueValid from → toStatusSourceConfidenceExtractor
206,515currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

Claim history for Model type
ValueValid from → toStatusSourceConfidenceExtractor
step1currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

Claim history for Tags
ValueValid from → toStatusSourceConfidenceExtractor
custom_code, onnx, safetensors, step1currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights availableweights_available1

Claim history for Weights available
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
BF16currentcurrentHugging 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

18

Source tiers

T218

Freshest observation

3 h ago

Conflicts

None

Source documents 2

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/stepfun-ai/Step-Audio-EditX model_pageT2· Quality secondary3 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=stepfun-ai&p=0&sort=downloads listingT2· Quality secondary4 h ago2

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (47/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →