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granite-4.1-8b

IBMhuggingface.co/ibm-granite/granite-4.1-8b

Open in Graph
data quality59

Updated 6 h ago · first seen 11 Sept 2026

model_01M294YP6WQ5P8QD5SNJEGXZMV

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 11 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 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 11 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 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

    No

    Artificial Analysis · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:Artificial AnalysisT2observed 10 h agomedium

Benchmarks7

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Hardware fit37

Estimated

37 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—5.6 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—5.6 GB est.Yes
Apple M2 Ultra4bit—5.6 GB est.Yes
Apple M1 Ultra4bit—5.6 GB est.Yes
Apple M3 Max4bit—5.6 GB est.Yes
Apple M4 Max4bit—5.6 GB est.Yes
Mac Studio (Apple M5 Max)4bit—5.6 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—5.6 GB est.Yes
Apple M2 Max4bit—5.6 GB est.Yes
Apple M1 Max4bit—5.6 GB est.Yes
Apple M4 Pro4bit—5.6 GB est.Yes
Mac mini (Apple M5 Pro)4bit—5.6 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—5.6 GB est.Yes
Apple M3 Pro4bit—5.6 GB est.Yes
Apple M1 Pro4bit—5.6 GB est.Yes
Apple M2 Pro4bit—5.6 GB est.Yes
Apple M44bit—5.6 GB est.Yes
iMac (Apple M4)4bit—5.6 GB est.Yes
Mac mini (Apple M6)4bit—5.6 GB est.Yes
MacBook Air (Apple M5)4bit—5.6 GB est.Yes
MacBook Pro (Apple M5)4bit—5.6 GB est.Yes
Apple M24bit—5.6 GB est.Yes
Apple M34bit—5.6 GB est.Yes
Apple M14bit—5.6 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB5.6 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB5.6 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB5.6 GB est.Yes
NVIDIA A100 80GB4bit80 GB5.6 GB est.Yes
NVIDIA H100 SXM4bit80 GB5.6 GB est.Yes
NVIDIA H100 NVL4bit94 GB5.6 GB est.Yes
NVIDIA DGX Spark4bit128 GB5.6 GB est.Yes
NVIDIA H2004bit141 GB5.6 GB est.Yes
NVIDIA H200 NVL4bit141 GB5.6 GB est.Yes
NVIDIA B2004bit180 GB5.6 GB est.Yes
AMD Instinct MI300X4bit192 GB5.6 GB est.Yes
AMD Instinct MI325X4bit256 GB5.6 GB est.Yes
NVIDIA DGX B2004bit1,440 GB5.6 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).

Papers1

Timeline8

Full timeline →

Change history21

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 27 claims in force

Release date
6 Apr 2026
Openness
open-weights
License
Apache-2.0
Architecture
GraniteForCausalLM
Parameters
8.79B
Context window
131.1K tokens
File size
17.6 GB
Hugging Face repo
ibm-granite/granite-4.1-8b
Pipeline tag
text-generation
Downloads
211,735
Likes
255
Aa context window
131,072
Aa openness
open-weights
Commercial use allowed
Yes
Derivatives allowed
Yes
Gated
No
Last modified
2026-05-04T17:36:29+00:00
Library name
transformers
Aa median output tokens per second
123.8
Downloads all time
5,984,117
Model type
granite
Reasoning
No
Redistribution allowed
Yes
Tags
transformers, safetensors, granite, text-generation, language, granite-4.1
Weights available
Yes
Weights dtype
BF16
21 claims · 21 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
6 Apr 2026 → 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
GraniteForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
8.79B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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ValueValid from → toStatusSourceConfidenceExtractor
131.1K tokens → currentcurrentArtificial AnalysisT2mediumdeterministic

File sizefile_size_gb1

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

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
ibm-granite/granite-4.1-8b → 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/ibm-granite/granite-4.1-8b → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
211,735 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
255 → 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
2026-05-04T17:36:29+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

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1

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ValueValid from → toStatusSourceConfidenceExtractor
123.8 → currentcurrentArtificial AnalysisT2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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ValueValid from → toStatusSourceConfidenceExtractor
5,984,117 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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

Reasoningreasoning1

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ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentArtificial AnalysisT2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, granite, text-generation, language, granite-4.1 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
BF16 → 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

21

Source tiers

T221

Freshest observation

6 h ago

Conflicts

None

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/ibm-granite/granite-4.1-8b/raw/main/README.md model_cardT2· Quality secondary5 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/ibm-granite/granite-4.1-8b model_pageT2· Quality secondary6 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=ibm-granite&p=0&sort=downloads listingT2· Quality secondary6 h ago6
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary10 h ago1

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

Data quality (59/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →