Model reference · open weights

Qwen3

LLMs PrimeIntellect Text gen 4 builds Open weights 53k dl/mo

Qwen3 is an open-weight language model from PrimeIntellect. Qwen3-8B (BF16) weighs 16.4 GB; the smallest configuration that runs it is 2× RTX 3060 12 GB.

What it is

Released byPrimeIntellect
Released2025-08-12
Parameters752M
VRAM16.4 GB for the weights

What it runs on

Memory and cards for Qwen3-8B (BF16)

16.4 GBweights, file size
147 MBcache per 1K tokens
753 MBruntime overhead, at least
40,960 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB … RTX 4060 Ti 16 GB
2 smaller cards
———
RTX 3090 24 GB51all 40K23.4 GB
RTX 4090 24 GB51all 40K23.4 GB
RTX 5090 32 GB112all 40K31.0 GB
L40S 48 GB225all 40K44.0 GB
A100 80 GB5012all 40K78.2 GB
H100 80 GB4611all 40K78.1 GB
RTX PRO 6000 Blackwell 96 GB5914all 40K93.8 GB
DGX Spark (GB10) 128 GB unified7117all 40K107 GB
H200 141 GB9624all 40K138 GB
B200 180 GB12731all 40K176 GB
2× RTX 3060 12 GB
tensor parallel
4135K11.6 GB a card
2× RTX 4060 Ti 16 GB
tensor parallel
102all 40K15.4 GB a card
2× RTX 4090 24 GB
tensor parallel
235all 40K23.4 GB a card
2× RTX 3090 24 GB
tensor parallel
235all 40K23.4 GB a card
Memory needed at each load
Requests at once8K tokens each32K tokens each
118.3 GB22.0 GB
523.2 GB41.3 GB
826.8 GB55.8 GB
1636.5 GB94.4 GB
3255.8 GB172 GB
6494.4 GB326 GB

One card, with vLLM's small-card settings.

Builds

Sizes, precisions & builds

BuildParamsPrecisionWeightsSmallest setup
Qwen3-0.6B ↗ 752MBF16 1.5 GBRTX 3060 12 GB
Qwen3-1.7B ↗ 2.0BBF16 4.1 GBRTX 3060 12 GB
Qwen3-8B (above) ↗ 8.2BBF16 16.4 GB2× RTX 3060 12 GB
Qwen3-4B ↗ 4.0BBF16 8.0 GBRTX 3060 12 GB

From the model card

What PrimeIntellect says about Qwen3

This is a clone of Qwen/Qwen3-0.6B with a multi-turn, tool-call compatible chat template.

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

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