DeepSeek

Coder V2 Lite 16B-A2.4B

codeMoE

15,7B

Parameters · 2,4B active

9,7 Go

Q4_K_M file

≥ 11,2 Go

Recommended VRAM

163 840

Max context

Not measured yet

No card has run the TokenBench protocol on this model yet. The current protocol covers a selection of models; benchmarking any catalog model from the app is coming soon.

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Which cards should it fit on?

Cards on the site whose video memory covers the recommended 11,2 Go (file + 4,000-token context). An estimate, not a measurement. Click a card for the detailed estimate.

Technical sheet

Published
2024-06-14
Architecture
27 layers · 16 KV heads · dimension 128
Attention
Latent (MLA): the context cache is compressed — much lighter than the standard formula.
GGUF file
bartowski/DeepSeek-Coder-V2-Lite-Instruct-GGUF · DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf Download (9,7 Go)

Public Hugging Face data (official config.json, GGUF repo). The context cache only counts full-attention layers.