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DeepSeek-V4-Flash-0731

DeepSeek's V4 Flash checkpoint dated in the repository name. Treat the size on the public record as the size. Do not assume a small active-parameter figure unless that record states one.

304.18BParameters
mitLicense
1,048,576 tokensContext
2026-07-31Opened
70Freshness 70 / 100
89Popularity 89 / 100

Freshness uses the repository open date. This record is 93 days old, opened 2026-07-31. Popularity uses 3,299,647 downloads and 4,094 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.

The parameter count is the total on the record. A mixture-of-experts model does not use every parameter on every token. The file you download is still the full count.

Hugging Face reports 166.9 GB of storage for the whole repository. That figure can include several packs, so the fit table does not use it as the size of one file.

Will it fit?

Save a machine on the hardware page and this block fills in. The table already has the sizes.

PackSizeSaved machine
Weight shards summed166.9 GB weights + 4.0 GB allowance. File: 48 shard files in the repository root.Choose a machine
Q4 estimate167.3 GB weights + 4.0 GB allowance.Choose a machine
Q8 estimate319.4 GB weights + 4.0 GB allowance.Choose a machine
FP16 estimate608.4 GB weights + 4.0 GB allowance.Choose a machine

Estimate rows use the parameter count. A measured row names a file in the repository. The allowance is fixed: it stands in for context or activations, and it is not a measurement from a run.

How to run it

Text models are usually loaded from a quantized pack in llama.cpp, Ollama, or LM Studio, or from the original weights with the publisher's own instructions. AI Price Desk does not host the weights.

Publisher repository on Hugging Face

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This directory is assembled from public model records. Freshness is age. Popularity is downloads and likes. A fit figure is an estimate from a parameter count or from a published file size, not a run on our hardware. How the numbers are made. AI disclosure.