Model reference · open weights

tiny-mixtral

LLMs TitanML Text gen 1 build Licence not stated 174k dl/mo

tiny-mixtral is an open-weight language model from TitanML. tiny-mixtral (FP32) weighs 494 MB; the smallest configuration that runs it is RTX 3060 12 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

What it is

Released byTitanML
Released2024-04-24
Parameters247M
VRAM494 MB for the weights

What it runs on

Memory and cards for tiny-mixtral (FP32)

494 MBweights, file size
0 MBcache per 1K tokens
17 MBwindow cache per request
508 MBruntime overhead, at least
131,072 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB632632all 128K11.6 GB
RTX 4060 Ti 16 GB858858all 128K15.4 GB
RTX 3090 24 GB1000+1000+all 128K23.4 GB
RTX 4090 24 GB1000+1000+all 128K23.4 GB
RTX 5090 32 GB1000+1000+all 128K31.0 GB
L40S 48 GB1000+1000+all 128K44.0 GB
A100 80 GB1000+1000+all 128K78.2 GB
H100 80 GB1000+1000+all 128K78.1 GB
RTX PRO 6000 Blackwell 96 GB1000+1000+all 128K93.8 GB
DGX Spark (GB10) 128 GB unified1000+1000+all 128K107 GB
H200 141 GB1000+1000+all 128K138 GB
B200 180 GB1000+1000+all 128K176 GB
Memory needed at each load
Requests at once8K tokens each32K tokens each
11.0 GB1.0 GB
51.1 GB1.1 GB
81.1 GB1.1 GB
161.3 GB1.3 GB
321.5 GB1.5 GB
642.1 GB2.1 GB

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

From the model card

What TitanML says about tiny-mixtral

This is a tiny-random mixtral, useful for testing and CI/CD pipelines. It is not trained at all, and not suitable for inferencing in any application.

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

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