family member

EmbeddingGemma 300M

Runs on 7 kinds of machine here, and no hosted API sells it — this network is where to get it.

8 builds of EmbeddingGemma 300M, 14 signed runs on real machines: different packagers, precisions and engines, each a different file with its own numbers.

0.3 GBmemory, smallest build

7providers 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. 7 providers have measured EmbeddingGemma 300M 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 · 8 builds

no context proved on this engine yet

What it fits on

The smallest build needs about 0.3 GB; 18 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.

Linux, CPU only · 2 CPUs1 GB RAM7 of 8
NVIDIA GeForce RTX 3050 Laptop GPU4 GB on the cardevery build
NVIDIA GeForce GTX 16504 GB on the cardevery build
AMD Radeon(TM) Vega 8 Mobile Graphics7 GB RAMevery build
Windows, CPU only · 12 CPUs7 GB RAMevery build
Apple silicon8 GB RAMevery build
Apple M18 GB RAMevery build
Mac, CPU only · 8 CPUs8 GB RAMevery build
NVIDIA GeForce RTX 3080 Ti12 GB on the cardevery build
Tesla T415 GB on the cardevery build
Intel(R) UHD Graphics 73016 GB RAMevery build
Intel(R) Iris(R) Xe Graphics16 GB RAMevery build
Apple M416 GB RAMevery build
Apple M116 GB RAMevery build
NVIDIA L422 GB on the cardevery build
2× Tesla T429 GB on the cardevery build
Linux, CPU only · 4 CPUs31 GB RAMevery build
NVIDIA RTX PRO 6000 Blackwell Server Edition95 GB on the cardevery build

Measured by

The people whose machines signed these numbers

proved by at least one build: Embeddings

Every build

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

build	engine	whose work	memory	context proved	best tok/s	machines
Q2_K by gaianethf.co/gaianet/embeddinggemma-300m-GGUF:Q2_K	ollama	gaianet	0.3 GB	—	—	1
Q3_K_S by gaianethf.co/gaianet/embeddinggemma-300m-GGUF:Q3_K_S	ollama	gaianet	0.3 GB	—	—	1
Q4_K_M by gaianethf.co/gaianet/embeddinggemma-300m-GGUF:Q4_K_M	ollama	gaianet	0.3 GB	—	—	3
Q8_0 by ggml-orghf.co/ggml-org/embeddinggemma-300M-GGUF:Q8_0	ollama	quantizer · ggml-org	0.5 GB	—	—	1
Q4_K_M by second-statehf.co/second-state/embeddinggemma-300m-GGUF:Q4_K_M	ollama	quantizer · second-state	0.3 GB	—	—	4
BF16 by unslothhf.co/unsloth/embeddinggemma-300m-GGUF:BF16	ollama	quantizer · unsloth	0.8 GB	—	—	1
F32 by unslothhf.co/unsloth/embeddinggemma-300m-GGUF:F32	ollama	quantizer · unsloth	1.4 GB	—	—	2
Q4_0 by unslothhf.co/unsloth/embeddinggemma-300m-GGUF:Q4_0	ollama	quantizer · unsloth	0.4 GB	—	—	1

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.