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Model reference · open weights

qwen2.5-coder-bd

Embeddings nomic-ai Embeddings 1 build Licence not stated 15 dl/mo

qwen2.5-coder-bd is an open-weight embedding model from nomic-ai. qwen2.5-coder-7B-instruct-bd (FP32) weighs 14.1 GB; the smallest configuration that runs it is RTX 4060 Ti 16 GB.

Hugging Face ↗GitHub ↗Paper ↗

What it is

Released bynomic-ai
Released2025-03-11
Parameters7.1B
VRAM14.1 GB for the weights

What it runs on

Memory and cards for qwen2.5-coder-7B-instruct-bd (FP32)

14.1 GBweights, file size
1.1 GBruntime overhead
CardRunsMemory
RTX 3060 12 GBdoes not fit11.6 GB
RTX 4060 Ti 16 GBtight15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What nomic-ai says about qwen2.5-coder-bd

Model Details

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Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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