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cerebras/MiniMax-M2.5-REAP-139B-A10B

Cerebras Systemshuggingface.co/cerebras/MiniMax-M2.5-REAP-139B-A

Open in Graph
data quality53

Updated 10 h ago · first seen 11 Sept 2026

model_01M294XYR3MVP381X6KYKNEA67

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

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

Active 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

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Pipeline tag

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

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 12 h agomedium

Hardware fit37

Estimated

17 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—80.5 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—80.5 GB est.Yes
Apple M2 Ultra4bit—80.5 GB est.Yes
Apple M1 Ultra4bit—80.5 GB est.Yes
Apple M3 Max4bit—80.5 GB est.Yes
Apple M4 Max4bit—80.5 GB est.Yes
Mac Studio (Apple M5 Max)4bit—80.5 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—80.5 GB est.Yes
Apple M2 Max4bit—80.5 GB est.Yes
NVIDIA H100 NVL4bit94 GB80.5 GB est.Yes
NVIDIA DGX Spark4bit128 GB80.5 GB est.Yes
NVIDIA H2004bit141 GB80.5 GB est.Yes
NVIDIA H200 NVL4bit141 GB80.5 GB est.Yes
NVIDIA B2004bit180 GB80.5 GB est.Yes
AMD Instinct MI300X4bit192 GB80.5 GB est.Yes
AMD Instinct MI325X4bit256 GB80.5 GB est.Yes
NVIDIA DGX B2004bit1,440 GB80.5 GB est.Yes
Apple M1 Max4bit—80.5 GB est.No
Apple M4 Pro4bit—80.5 GB est.No
Mac mini (Apple M5 Pro)4bit—80.5 GB est.No
MacBook Pro (Apple M5 Pro)4bit—80.5 GB est.No
Apple M3 Pro4bit—80.5 GB est.No
Apple M1 Pro4bit—80.5 GB est.No
Apple M2 Pro4bit—80.5 GB est.No
Apple M44bit—80.5 GB est.No
iMac (Apple M4)4bit—80.5 GB est.No
Mac mini (Apple M6)4bit—80.5 GB est.No
MacBook Air (Apple M5)4bit—80.5 GB est.No
MacBook Pro (Apple M5)4bit—80.5 GB est.No
Apple M24bit—80.5 GB est.No
Apple M34bit—80.5 GB est.No
Apple M14bit—80.5 GB est.No
NVIDIA GeForce RTX 30904bit24 GB80.5 GB est.No
NVIDIA GeForce RTX 40904bit24 GB80.5 GB est.No
NVIDIA GeForce RTX 50904bit32 GB80.5 GB est.No
NVIDIA A100 80GB4bit80 GB80.5 GB est.No
NVIDIA H100 SXM4bit80 GB80.5 GB est.No
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).

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
ANCESTORS 1MiniMax M2.5228.7BMiniMax M2.5 — 228.7Bcerebras/MiniMax-M2.5-REAP-13…139.2B params · this modelcerebras/MiniMax-M2.5-REAP-139B-A10B — 139.2B params · this model

Papers1

Timeline1

Full timeline →

Change history23

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 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 24 claims in force

Release date
18 Feb 2026
Openness
open-weights
License
Other
Architecture
MiniMaxM2ForCausalLM
Parameters
139.2B
Active parameters
10B
Languages
en
Base model
MiniMaxAI/MiniMax-M2.5
Quantization format
fp8
File size
140.4 GB
Hugging Face repo
cerebras/MiniMax-M2.5-REAP-139B-A10B
Pipeline tag
text-generation
Downloads
137
Likes
29
Gated
No
Is quantized
Yes
Last modified
2026-02-18T21:09:06+00:00
Library name
transformers
Downloads all time
9,590
Model type
minimax_m2
Tags
transformers, safetensors, minimax_m2, text-generation, minimax, MOE, pruning, compression, custom_code, en, fp8
Weights available
Yes
Weights dtype
BF16, F8_E4M3
23 claims · 23 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
18 Feb 2026 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

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

Licenselicense1

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

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
MiniMaxM2ForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
139.2B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Active parametersactive_parameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
10B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Languageslanguages1

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

Base modelbase_model1

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ValueValid from → toStatusSourceConfidenceExtractor
MiniMaxAI/MiniMax-M2.5 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Quantization formatquant_format1

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ValueValid from → toStatusSourceConfidenceExtractor
fp8 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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140.4 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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cerebras/MiniMax-M2.5-REAP-139B-A10B → 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/cerebras/MiniMax-M2.5-REAP-139B-A10B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
29 → 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

Is quantizedis_quantized1

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Yes → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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2026-02-18T21:09:06+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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9,590 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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minimax_m2 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, minimax_m2, text-generation, minimax, MOE, pruning, compression, custom_code, en, fp8 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
BF16, F8_E4M3 → 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

23

Source tiers

T223

Freshest observation

10 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/cerebras/MiniMax-M2.5-REAP-139B-A10B/raw/main/README.md model_cardT2· Quality secondary9 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/cerebras/MiniMax-M2.5-REAP-139B-A10B model_pageT2· Quality secondary10 h ago3
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=cerebras&p=0&sort=downloads listingT2· Quality secondary10 h ago3

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 →