Model reference · open weights

OpenSeek-Mid

LLMs BAAI Text gen 1 build Licence not stated 1 dl/mo

OpenSeek-Mid is an open-weight language model from BAAI. OpenSeek-Mid-v1 (BF16) weighs 21.2 GB; the smallest configuration that runs it is RTX 4090 24 GB.

  • OpenSeek-Mid-v1 is a 10.61-billion-parameter text-generation model developed by BAAI.
  • It was created by expanding the Qwen3-4B-Base architecture and trained on 2 trillion tokens of open-source data.
  • The model supports a sequence length of 8192 and is released under the Apache-2.0 license.

Summary of the BAAI/OpenSeek-Mid-v1 model card, 2026-10-01

What it is

Released byBAAI
Released2026-04-30
Parameters10.6B
VRAM21.2 GB for the weights

What it runs on

Memory and cards for OpenSeek-Mid-v1 (BF16)

21.2 GBweights, file size
762 MBruntime overhead, at least

How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.

CardWeights alone
RTX 3060 12 GB … RTX 4060 Ti 16 GB
2 smaller cards
does not fit
RTX 3090 24 GBtight
RTX 4090 24 GBtight
RTX 5090 32 GBfits
L40S 48 GBfits
A100 80 GBfits
H100 80 GBfits
RTX PRO 6000 Blackwell 96 GBfits
DGX Spark (GB10) 128 GB unifiedfits
H200 141 GBfits
B200 180 GBfits

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.
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