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DeepSeek-V4-Flash-DSpark

DeepSeekhuggingface.co/deepseek-ai/DeepSeek-V4-Flash-DSp

Open in Graph
data quality53

Updated 6 h ago · first seen 11 Sept 2026

model_01M294Y7HNZ925CGRE5H5DHPGV

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

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

Hardware fit37

Estimated

15 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit95.5 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit95.5 GB est.Yes
Apple M2 Ultra4bit95.5 GB est.Yes
Apple M1 Ultra4bit95.5 GB est.Yes
Apple M3 Max4bit95.5 GB est.Yes
Apple M4 Max4bit95.5 GB est.Yes
Mac Studio (Apple M5 Max)4bit95.5 GB est.Yes
MacBook Pro (Apple M5 Max)4bit95.5 GB est.Yes
NVIDIA DGX Spark4bit128 GB95.5 GB est.Yes
NVIDIA H2004bit141 GB95.5 GB est.Yes
NVIDIA H200 NVL4bit141 GB95.5 GB est.Yes
NVIDIA B2004bit180 GB95.5 GB est.Yes
AMD Instinct MI300X4bit192 GB95.5 GB est.Yes
AMD Instinct MI325X4bit256 GB95.5 GB est.Yes
NVIDIA DGX B2004bit1,440 GB95.5 GB est.Yes
Apple M2 Max4bit95.5 GB est.No
Apple M1 Max4bit95.5 GB est.No
Apple M4 Pro4bit95.5 GB est.No
Mac mini (Apple M5 Pro)4bit95.5 GB est.No
MacBook Pro (Apple M5 Pro)4bit95.5 GB est.No
Apple M3 Pro4bit95.5 GB est.No
Apple M1 Pro4bit95.5 GB est.No
Apple M2 Pro4bit95.5 GB est.No
Apple M44bit95.5 GB est.No
iMac (Apple M4)4bit95.5 GB est.No
Mac mini (Apple M6)4bit95.5 GB est.No
MacBook Air (Apple M5)4bit95.5 GB est.No
MacBook Pro (Apple M5)4bit95.5 GB est.No
Apple M24bit95.5 GB est.No
Apple M34bit95.5 GB est.No
Apple M14bit95.5 GB est.No
NVIDIA GeForce RTX 30904bit24 GB95.5 GB est.No
NVIDIA GeForce RTX 40904bit24 GB95.5 GB est.No
NVIDIA GeForce RTX 50904bit32 GB95.5 GB est.No
NVIDIA A100 80GB4bit80 GB95.5 GB est.No
NVIDIA H100 SXM4bit80 GB95.5 GB est.No
NVIDIA H100 NVL4bit94 GB95.5 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).

Papers1

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 24 claims in force

Release date
27 Jun 2026
Openness
open-weights
License
MIT
Architecture
DeepseekV4ForCausalLM
Parameters
165.3B
Quantization format
fp8
File size
166.9 GB
Hugging Face repo
deepseek-ai/DeepSeek-V4-Flash-DSpark
Pipeline tag
text-generation
Downloads
729,000
Likes
271
Commercial use allowed
Yes
Derivatives allowed
Yes
Gated
No
Is quantized
Yes
Last modified
2026-07-04T03:15:12+00:00
Library name
transformers
Downloads all time
1,521,636
Model type
deepseek_v4
Redistribution allowed
Yes
Tags
transformers, safetensors, deepseek_v4, text-generation, 8-bit, fp8
Weights available
Yes
Weights dtype
BF16, F32, F8_E4M3, F8_E8M0, I64, I8
20 claims · 20 properties

Release daterelease_date1

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27 Jun 2026currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

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open-weightscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
DeepseekV4ForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
165.3BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Quantization formatquant_format1

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fp8currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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166.9 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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deepseek-ai/DeepSeek-V4-Flash-DSparkcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-DSparkcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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729,000currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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271currentcurrentHugging 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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2026-07-04T03:15:12+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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

Downloads all timemetric.downloads_all_time1

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1,521,636currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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deepseek_v4currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

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transformers, safetensors, deepseek_v4, text-generation, 8-bit, fp8currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F32, F8_E4M3, F8_E8M0, I64, I8currentcurrentHugging 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

6 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/deepseek-ai/DeepSeek-V4-Flash-DSpark/raw/main/README.md model_cardT2· Quality secondary5 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/deepseek-ai/DeepSeek-V4-Flash-DSpark model_pageT2· Quality secondary6 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=deepseek-ai&p=0&sort=downloads listingT2· Quality secondary6 h ago6

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 →