bartowski/thomsonreuters_Thomson-1.0-Small-GGUF
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
- Model card
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
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 →- ancestor: Thomson-1.0-Small
Timeline1
Full timeline →New model: bartowski/thomsonreuters_Thomson-1.0-Small-GGUF (bartowski)
huggingface
Change history20
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
Release daterelease_date1
Opennessopenness1
Licenselicense1
Parametersparameter_count1
Base modelbase_model1
Quantizationquantization1
Quantization formatquant_format1
Hugging Face repohf_repo1
Pipeline tagpipeline_tag1
Model cardmodel_card_url1
Downloadsmetric.downloads1
Likesmetric.likes1
Gatedgated1
Is quantizedis_quantized1
Last modifiedlast_modified1
License namelicense_name1
License urllicense_url1
Downloads all timemetric.downloads_all_time1
Quantized byquantized_by1
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
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 →