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Gemma 4 E2B

173 tokens a second on Windows · NVIDIA 12 GB · 16 CPUs · 16 GB RAM. No hosted API sells it, so this network is the place to run it.

11 builds of Gemma 4 E2B, 36 signed runs on real machines: different packagers, precisions and engines, each a different file with its own numbers. 5.1B parameters, as the vendor states.

173tok/s, fastest machine
$1.39per M tokens · no API sells it
128Kcontext proved by recall
1.4 GBmemory, smallest build
12providers measured it
best on ollama · 10 builds

trained 128K · proved 128K context, by unsloth IQ4_XS

174.7 tok/s peak, by unsloth IQ4_XS

best on llamacpp · 1 build

no context proved on this engine yet

2.0 tok/s peak, by google

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

$1$10USD per million tokenstok/sWindows · NVIDIA 12 GB · 16 CPUs · 16 GB RAM · 4-bit by unsloth · 173.02 tok/s · $1.4944/MWindows · NVIDIA 12 GB · 16 CPUs · 16 GB RAM · 4-bit by google · 170.45 tok/s · $1.5375/MLinux · NVIDIA 15 GB · 4 CPUs · 31 GB RAM · 4-bit by google · 101.19 tok/s · $1.3875/MWindows · NVIDIA 12 GB · 16 CPUs · 16 GB RAM · 4-bit by unsloth · 87.36 tok/s · $2.9697/MLinux · NVIDIA 15 GB · 4 CPUs · 31 GB RAM · 4-bit by unsloth · 84.59 tok/s · $1.6128/MLinux · NVIDIA 15 GB · 4 CPUs · 31 GB RAM · 4-bit by unsloth · 79.53 tok/s · $1.7213/MLinux · NVIDIA 15 GB · 4 CPUs · 31 GB RAM · 4-bit by unsloth · 77.58 tok/s · $1.7757/MLinux · NVIDIA 15 GB · 4 CPUs · 31 GB RAM · 8-bit by unsloth · 56.48 tok/s · $2.4523/MWindows · NVIDIA 4 GB · 12 CPUs · 16 GB RAM · 4-bit by unsloth · 27.39 tok/s · $7.9896/MLinux · NVIDIA 15 GB · 4 CPUs · 31 GB RAM · 16-bit (full precision) by unsloth · 25.19 tok/s · $5.63/MLinux · 2× Tesla T4 15 GB · 4 CPUs · 31 GB RAM · 4-bit by unsloth · 24.89 tok/s · $5.534/MWindows · NVIDIA 4 GB · 12 CPUs · 7 GB RAM · 4-bit by unsloth · 15.33 tok/s · $14.2764/MWindows · Intel 2 GB · 8 CPUs · 16 GB RAM · 3-bit by unsloth · 13 tok/s · $5.6032/MWindows · NVIDIA 4 GB · 8 CPUs · 8 GB RAM · 4-bit by unsloth · 9.95 tok/s · $17.9178/MWindows · no GPU · 8 CPUs · 16 GB RAM · 4-bit by unsloth · 9.1 tok/s · $8.002/MWindows · Intel 2 GB · 8 CPUs · 16 GB RAM · 4-bit by unsloth · 6.8 tok/s · $10.9087/MMac · Apple silicon · 4 CPUs · 8 GB RAM · 4-bit by unsloth · 3.99 tok/s · $34.5372/MMac · no GPU · 4 CPUs · 8 GB RAM · 3-bit by unsloth · 2.78 tok/s · $11.6142/M

Same build, different machines

Q4_K_M by google on 9 machines: the fastest decodes 42× as fast as the slowest. One dot per machine, tokens per second.

  1. NVIDIA GeForce RTX 3080 Ti×1170 tok/s
  2. Tesla T4×1122 tok/s
  3. Apple M4×143 tok/s
  4. Apple M1×219 tok/s
  5. Intel(R) Iris(R) Xe Graphics×18.9 tok/s
  6. 2× Tesla T4×18.5 tok/s
  7. Intel(R) UHD Graphics 730×17.7 tok/s
  8. apple×14.1 tok/s

What it fits on

The smallest build needs about 1.4 GB; 13 of 13 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. NVIDIA GeForce RTX 3050 Laptop GPU4 GB on the card3 of 6
  2. NVIDIA GeForce GTX 16504 GB on the card3 of 6
  3. AMD Radeon(TM) Vega 8 Mobile Graphics7 GB RAM5 of 6
  4. Windows, CPU only · 12 CPUs7 GB RAM5 of 6
  5. apple8 GB RAM5 of 6
  6. Apple M18 GB RAM5 of 6
  7. NVIDIA GeForce RTX 3080 Ti12 GB on the card5 of 6
  8. Tesla T415 GB on the card5 of 6
  9. Intel(R) UHD Graphics 73016 GB RAM5 of 6
  10. Intel(R) Iris(R) Xe Graphics16 GB RAM5 of 6
  11. Apple M416 GB RAM5 of 6
  12. 2× Tesla T429 GB on the cardevery build
  13. Linux, CPU only · 4 CPUs31 GB RAMevery 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 128K. 0 walks ended because the model forgot, 1 because the machine could not hold the prompt.

The 14 longest of 29 walks; every one is on its build's page.

Carbon per million tokens

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

  1. Gram ·a5be46152 g1.16 J/tok · sensor
  2. Gram ·e61d3b570 g4.34 J/tok · sensor

Carbon is location-based: signed energy × the yearly average of the grid where the machine signed its place (world grid average (place not signed) · 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

and 2 more

proved by at least one build: Tool calling · Tool loop finished · Faithful to tool results · Chained tool calls · Structured output · Sustained output · Extended thinking · Vision · Counts in images · Multiple images at once · Spatial reasoning · Writes code · Reasons about 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
IQ4_XS by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:IQ4_XSollamaquantizer · unsloth3.9 GB128K174.73
Q4_K_M by googlegemma4:e2bollamavendor · google1.4 GB128K170.59
Q4_K_M by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:Q4_K_Mollamaquantizer · unsloth4.9 GB128K164.79
Q4_0 by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:Q4_0ollamaquantizer · unsloth2.9 GB128K84.73
Q8_0 by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:Q8_0ollamaquantizer · unsloth6.4 GB128K67.02
BF16 by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:BF16ollamaquantizer · unsloth16.7 GB128K38.32
IQ4_NL by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:IQ4_NLollamaquantizer · unsloth—8K54.92
Q3_K_M by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:Q3_K_Mollamaquantizer · unsloth—8K38.43
Q3_K_S by unslothhf.co/unsloth/gemma-4-E2B-it-GGUF:Q3_K_Sollamaquantizer · unsloth—4K14.41
by ollamagemma4:e2b-it-qatollamaollama——8.91
by googlegoogle/gemma-4-E2B-it-qat-q4_0-ggufllamacppgoogle——2.01