family member
MiniCPM-V 4.7 logo

MiniCPM-V 4.7 1B

221 tokens a second on Linux · L4 23 GB · 12 CPUs · 53 GB RAM. No hosted API sells it, so this network is the place to run it.

2 builds of MiniCPM-V 4.7 1B, 3 signed runs on real machines: different packagers, precisions and engines, each a different file with its own numbers.

221tok/s, fastest machine
$0.98per M tokens · no API sells it
256Kcontext proved by recall
15.5 GBmemory, smallest build
2providers 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. 2 providers have measured MiniCPM-V 4.7 1B so far.Use it in your own room Ask Evo in your gramx and it runs on a machine that proved it, at the metered $0.98 per million tokens. 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 · 2 builds

trained 256K · proved 256K context, by openbmb Q4_K_M

221.1 tok/s peak, by openbmb Q4_K_M

Speed against price, every machine

Up and left is faster and cheaper · the line joins machines no other beats on both · price on a log scale

$1USD per million tokenstok/sLinux · L4 23 GB · 12 CPUs · 53 GB RAM · 4-bit by openbmb · 221.15 tok/s · $0.9777/MLinux · L4 23 GB · 12 CPUs · 53 GB RAM · 8-bit by openbmb · 185.86 tok/s · $1.1651/MLinux · no GPU · 4 CPUs · 31 GB RAM · 8-bit by openbmb · 14.97 tok/s · $2.0879/M

What it fits on

The smallest build needs about 15.5 GB; 8 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 cardnone
  10. Tesla T415 GB on the cardnone
  11. Intel(R) UHD Graphics 73016 GB RAM1 of 2
  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 · build4K8K16K32K64K128K256Kwhy it stopped
Gram ·dae679NVIDIA L4 · Q4_K_M by openbmb256K recalled at every size asked
Gram ·dae679NVIDIA L4 · Q8_0 by openbmb256K recalled at every size asked
Gram ·4e94b2Linux, CPU only · 4 CPUs · Q8_0 by openbmb8K too slow to answer here

Carbon per million tokens

Lowest build on each machine · 1 of 2 read off a power sensor, the rest modelled from the parts · fewer grams is better

  1. Gram ·4e94b2237 g2.23 J/tok · modelled
  2. Gram ·dae6791.2 kg9.01 J/tok · sensor

Carbon is location-based: signed energy × the yearly average of the grid where the machine signed its place (United States grid average · world grid average (Singapore not in the table); Ember Global Electricity Review 2025 (2024 generation), location-based). Facility overhead is not included. A machine on its own solar is not credited until it can prove it.

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 · 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 openbmbhf.co/openbmb/MiniCPM-V-4.7-1B-gguf:Q4_K_Mollamavendor · openbmb15.5 GB256K221.11
Q8_0 by openbmbhf.co/openbmb/MiniCPM-V-4.7-1B-gguf:Q8_0ollamavendor · openbmb15.8 GB256K185.92
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.

MiniCPM-V-4.7-1B-abliterated-heretic-GGUFnot measuredMiniCPM-V-4.7-1B-heretic-F16.ggufnot measuredMiniCPM-V-4.7-1B-hereticnot measured