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Ministral 3 14B-INSTRUCT-2512

Ran on 1 kind of machine here, but its speed was not recorded. OpenRouter sells it at $0.20 per million output tokens.

1 build of Ministral 3 14B-INSTRUCT-2512, 1 signed run on real machines: different packagers, precisions and engines, each a different file with its own numbers.

1.8tok/s, fastest machine
4Kcontext proved by recall
10.2 GBmemory, smallest build
1provider measured it
Run it on your gram Install a gram with one command. It works through the catalog on your own machine and signs every result. 1 provider has measured Ministral 3 14B-INSTRUCT-2512 so far.Use it in your own room Ask Evo in your gramx and it runs on a machine that proved it. On your own machines it costs you nothing.Compare every build Put it beside every other model in one table: speed, price, context and the API price, one row each.
best on ollama · 1 build

trained 256K · proved 4K context, by mistralai Q4_K_M

1.8 tok/s peak, by mistralai Q4_K_M

What it fits on

The smallest build needs about 10.2 GB; 10 of 18 kinds of machine on the network can hold it. Bars: each kind's memory (its card's, else RAM) · ticks: every build, at the size it held plus a fifth for the prompt.

  1. Linux, CPU only · 2 CPUs1 GB RAMnone
  2. NVIDIA GeForce RTX 3050 Laptop GPU4 GB on the cardnone
  3. NVIDIA GeForce GTX 16504 GB on the cardnone
  4. AMD Radeon(TM) Vega 8 Mobile Graphics7 GB RAMnone
  5. Windows, CPU only · 12 CPUs7 GB RAMnone
  6. Apple silicon8 GB RAMnone
  7. Apple M18 GB RAMnone
  8. Mac, CPU only · 8 CPUs8 GB RAMnone
  9. NVIDIA GeForce RTX 3080 Ti12 GB on the cardevery build
  10. Tesla T415 GB on the cardevery build
  11. Intel(R) UHD Graphics 73016 GB RAMevery build
  12. Intel(R) Iris(R) Xe Graphics16 GB RAMevery build
  13. Apple M416 GB RAMevery build
  14. Apple M116 GB RAMevery build
  15. NVIDIA L422 GB on the cardevery build
  16. 2× Tesla T429 GB on the cardevery build
  17. Linux, CPU only · 4 CPUs31 GB RAMevery build
  18. NVIDIA RTX PRO 6000 Blackwell Server Edition95 GB on the cardevery build

How far back it remembers, machine by machine

Filled: the needle came back at that prompt size · outlined: asked and lost · blank: not asked · trained for 256K. 0 walks ended because the model forgot, 1 because the machine could not hold the prompt.

machine · build4Kwhy it stopped
Gram ·e61d3b2× Tesla T4 · Q4_K_M by mistralai4K too slow to answer here

Measured by

The people whose machines signed these numbers

proved by at least one build: Tool calling · Structured output · Sustained output · Vision · Counts in images · Multiple images at once · Spatial reasoning · Writes code · Synthesises sources · Follows instructions

Every build

Each its own file with its own page: the machines that ran it and their signatures.

buildenginewhose workmemorycontext provedbest tok/smachines
Q4_K_M by mistralaihf.co/mistralai/Ministral-3-14B-Instruct-2512-GGUF:Q4_K_Mollamavendor · mistralai10.2 GB4K1.81
derivatives — somebody else's change to these weights

Fine-tunes, merges and abliterations of this member, each its own model with its own page. None of their numbers are counted above.

Ministral-3-14B-Instruct-2512-bnb-4bitnot measured