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bartowski/thomsonreuters_Thomson-1.0-Small-GGUF

bartowskihuggingface.co/bartowski/thomsonreuters_Thomson-

Open in Graph
data quality50

Updated 9 h ago · first seen 11 Sept 2026

model_01M294XK1559YQDTAS5DPQMZVS

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

Parameters

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 11 h agomedium

Hugging Face repo

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

Hardware fit37

Estimated

36 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit20.4 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit20.4 GB est.Yes
Apple M2 Ultra4bit20.4 GB est.Yes
Apple M1 Ultra4bit20.4 GB est.Yes
Apple M3 Max4bit20.4 GB est.Yes
Apple M4 Max4bit20.4 GB est.Yes
Mac Studio (Apple M5 Max)4bit20.4 GB est.Yes
MacBook Pro (Apple M5 Max)4bit20.4 GB est.Yes
Apple M2 Max4bit20.4 GB est.Yes
Apple M1 Max4bit20.4 GB est.Yes
Apple M4 Pro4bit20.4 GB est.Yes
Mac mini (Apple M5 Pro)4bit20.4 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit20.4 GB est.Yes
Apple M3 Pro4bit20.4 GB est.Yes
Apple M1 Pro4bit20.4 GB est.Yes
Apple M2 Pro4bit20.4 GB est.Yes
Apple M44bit20.4 GB est.Yes
iMac (Apple M4)4bit20.4 GB est.Yes
Mac mini (Apple M6)4bit20.4 GB est.Yes
MacBook Air (Apple M5)4bit20.4 GB est.Yes
MacBook Pro (Apple M5)4bit20.4 GB est.Yes
Apple M24bit20.4 GB est.Yes
Apple M34bit20.4 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB20.4 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB20.4 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB20.4 GB est.Yes
NVIDIA A100 80GB4bit80 GB20.4 GB est.Yes
NVIDIA H100 SXM4bit80 GB20.4 GB est.Yes
NVIDIA H100 NVL4bit94 GB20.4 GB est.Yes
NVIDIA DGX Spark4bit128 GB20.4 GB est.Yes
NVIDIA H2004bit141 GB20.4 GB est.Yes
NVIDIA H200 NVL4bit141 GB20.4 GB est.Yes
NVIDIA B2004bit180 GB20.4 GB est.Yes
AMD Instinct MI300X4bit192 GB20.4 GB est.Yes
AMD Instinct MI325X4bit256 GB20.4 GB est.Yes
NVIDIA DGX B2004bit1,440 GB20.4 GB est.Yes
Apple M14bit20.4 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).
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
ANCESTORS 1Thomson-1.0-SmallthomsonreutersThomson-1.0-Small — thomsonreutersbartowski/thomsonreuters_Thom…34.7B params · this modelbartowski/thomsonreuters_Thomson-1.0-Small-GGUF — 34.7B params · this model

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 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 21 claims in force

Release date
26 Aug 2026
Openness
open-weights
License
Other
Parameters
34.7B
Base model
thomsonreuters/Thomson-1.0-Small
Quantization
BF16, F16, IQ2_M, IQ2_S, IQ2_XS, IQ2_XXS, IQ3_M, IQ3_XS, IQ3_XXS, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_L, Q3_K_M, Q3_K_S, Q3_K_XL, Q4_0, Q4_1, Q4_K_L, Q4_K_M, Q4_K_S, Q5_K_L, Q5_K_M, Q5_K_S, Q6_K, Q6_K_L, Q8_0
Quantization format
gguf
Hugging Face repo
bartowski/thomsonreuters_Thomson-1.0-Small-GGUF
Pipeline tag
image-text-to-text
Downloads
277,948
Likes
18
Gated
No
Is quantized
Yes
Last modified
2026-08-26T07:26:55+00:00
License name
polyform-strict-1-0-0
License url
https://polyformproject.org/licenses/strict/1.0.0
Downloads all time
277,948
Quantized by
bartowski
Tags
gguf, image-text-to-text, imatrix
Weights available
Yes
20 claims · 20 properties

Release daterelease_date1

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

Opennessopenness1

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

Licenselicense1

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

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
34.7BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Base modelbase_model1

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ValueValid from → toStatusSourceConfidenceExtractor
thomsonreuters/Thomson-1.0-SmallcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Quantizationquantization1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F16, IQ2_M, IQ2_S, IQ2_XS, IQ2_XXS, IQ3_M, IQ3_XS, IQ3_XXS, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_L, Q3_K_M, Q3_K_S, Q3_K_XL, Q4_0, Q4_1, Q4_K_L, Q4_K_M, Q4_K_S, Q5_K_L, Q5_K_M, Q5_K_S, Q6_K, Q6_K_L, Q8_0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Quantization formatquant_format1

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

Hugging Face repohf_repo1

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bartowski/thomsonreuters_Thomson-1.0-Small-GGUFcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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image-text-to-textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/bartowski/thomsonreuters_Thomson-1.0-Small-GGUFcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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277,948currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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

Gatedgated1

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NocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Is quantizedis_quantized1

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YescurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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2026-08-26T07:26:55+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License namelicense_name1

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polyform-strict-1-0-0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License urllicense_url1

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https://polyformproject.org/licenses/strict/1.0.0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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277,948currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Quantized byquantized_by1

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bartowskicurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
gguf, image-text-to-text, imatrixcurrentcurrentHugging 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

9 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/bartowski/thomsonreuters_Thomson-1.0-Small-GGUF model_pageT2· Quality secondary9 h ago3
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=bartowski&p=0&sort=downloads listingT2· Quality secondary9 h ago3
Hugging Face Hub (public pages, model cards, papers)huggingface.co/bartowski/thomsonreuters_Thomson-1.0-Small-GGUF/raw/main/README.md model_cardT2· 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 (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →