gemma-2-2b-it-Q4_K_M
This seed file names one model file by its SHA-256. The player downloads it, checks every byte and runs it on your CPU, or refuses.
- Passed start-up
- Same on Linux and Windows
- Same on AMD and Intel, same OS
Use this seed
Download the playerHave the player? Run itNeeds
- RAM: the player refuses below 1.59 GiB
- Peak memory: not measured for this seed. The player compares your RAM with the file size, not with the memory it will use; on the 2 seeds we measured, the largest process peaked 49% and 77% above the file size (Linux, )
- Free disk ≥ 1.67 GiB
- x86-64 processor with AVX2, FMA and F16C
- Linux (glibc 2.35 or newer) or Windows 11 (builds 26100 and 26200 measured)
The player checks RAM, free disk and the processor before downloading, and stops if any of them falls short; a value it cannot read does not stop it.
Downloads 1.59 GiB from Hugging Face.
Seed file · 478 bytes · already in the player's archive,catalogue folderSeed gemma2-2b · 478 bytes
Model by google · file converted by bartowski (bartowski/gemma-2-2b-it-GGUF)
Gemma Terms of Use · Extra terms · licence text read at the source · as declared, read · not legal advice
Linux vs Windows comparison: same tokens on 3 test questions, 2 machines, .
Run it
From the unpacked player folder. --maison is the folder for this model and your conversations.
# germer: download the model file and check every byte./memown germer catalogue/gemma2-2b.graine.json --maison ~/ia/gemma2-2b Expected: a line starting with VERDICT : VERT (VERT: all four checks passed, including the byte-for-byte check)
# germer: download the model file and check every byte.\memown.exe germer catalogue\gemma2-2b.graine.json --maison "$env:USERPROFILE\ia\gemma2-2b" Expected: a line starting with VERDICT : VERT (VERT: all four checks passed, including the byte-for-byte check)
Compare your answer with ours
Ask it first, right after germer, in a new --maison folder. Type the question exactly, in French: the published fingerprint is for these exact bytes.
Expected: 15 tokens, seen on 5 machines (Linux and Windows 11), to , 0 differences · fingerprint 6cb0d5a007799efc56bb663e3f0db051a954919909570ace744db15123a88f6a Click once to select the whole value.
# parler: ask a question./memown parler --maison ~/ia/gemma2-2b --dire "Quelle est la capitale de la France ?"grep -c '"ids_sha256":"6cb0d5a007799efc56bb663e3f0db051a954919909570ace744db15123a88f6a"' ~/ia/gemma2-2b/vies/vie/journal.json Expected: 1
# parler: ask a question.\memown.exe parler --maison "$env:USERPROFILE\ia\gemma2-2b" --dire "Quelle est la capitale de la France ?"Select-String -Quiet -SimpleMatch -Path "$env:USERPROFILE\ia\gemma2-2b\vies\vie\journal.json" -Pattern '"ids_sha256":"6cb0d5a007799efc56bb663e3f0db051a954919909570ace744db15123a88f6a"'Expected: True
1 or True: your tokens are the same as ours. 0 or False: they differ. Tell us either way.
To ask your own question, change the text after --dire. Keep the test question to compare with ours.
What this seed names
- Model file
gemma-2-2b-it-Q4_K_M.gguf- Size
- 1,708,582,752 bytes (1.59 GiB)
- SHA-256
e0aee85060f168f0f2d8473d7ea41ce2f3230c1bc1374847505ea599288a7787- Hosted at
- Hugging Face gave the same SHA-256 for this file (checked ) · If that file changes, the player refuses it.
- Licence
- Gemma Terms of Use · Extra terms
- Seed file
gemma2-2b.graine.json· 478 bytes ·4525eccde721e5af7185cf15078fb498f0f4e7cf89573c9f836432ecaa7b18f6
What we measured
- Start-up: passed on when the seed was made (Linux, glibc 2.35).
- Linux vs Windows: same tokens · 3 test questions · 2 machines · · data (JSON)
- AMD vs Intel, same OS: same tokens · 3 test questions · 2 machines ·
- 12 expected answers · up to 5 machines · 0 differences
- 20.9–29.0 tokens/s · 3 rented AMD EPYC servers shared with other work · 8 threads · short answers in a new conversation · player 1.2, same engines as 1.3.1 · . Your speed: not measured.
Not measured for this seed
- Peak memory
Not measured for any seed: see Measurements.
12 expected answers
| Question | Expected | Measured |
|---|---|---|
| Quelle est la capitale de la France ? (“What is the capital of France?”) | 15 tokens · SHA-256 of the token IDs 6cb0d5a0…88f6a | 5 machines |
| Continue la suite : 2, 4, 8, 16, (“Continue the sequence: 2, 4, 8, 16,”) | 68 tokens · SHA-256 of the token IDs e70dd685…1738c | 3 machines |
| What is the capital of Italy? | 14 tokens · SHA-256 of the token IDs e7986540…1391c | 4 machines |
| Continue la suite : 2, 4, 8, 16, (“Continue the sequence: 2, 4, 8, 16,”) | 78 tokens · SHA-256 of the token IDs 541c4c92…009e1 | 4 machines |
| Explique en deux phrases pourquoi le ciel est bleu. (“Explain in two sentences why the sky is blue.”) | 56 tokens · SHA-256 of the token IDs efc84ab3…00baa | 3 machines |
| Recopie exactement : le chat dort sur le tapis rouge et la pluie tombe doucement. (“Copy exactly: the cat sleeps on the red rug and the rain falls gently.”) | 16 tokens · SHA-256 of the token IDs 809e7ec0…d4c08 | 3 machines |
| Donne trois nombres premiers entre 10 et 30. (“Give three prime numbers between 10 and 30.”) | 33 tokens · SHA-256 of the token IDs 52bc01c3…aae9b | 3 machines |
| Traduis en anglais : la mer est calme ce soir. (“Translate into English: the sea is calm tonight.”) | 27 tokens · SHA-256 of the token IDs bfc86c09…940db | 3 machines |
| Quel est le plus grand océan du monde ? (“What is the largest ocean in the world?”) | 20 tokens · SHA-256 of the token IDs 6c2f0673…4adaf | 3 machines |
| Écris une phrase de politesse pour finir un e-mail. (“Write a polite sentence to end an email.”) | 159 tokens · SHA-256 of the token IDs 1c2bad5b…e0fb4 | 3 machines |
| Résume en une phrase ce que fait un four à pain. (“Sum up in one sentence what a bread oven does.”) | 23 tokens · SHA-256 of the token IDs f4e47f11…9065b | 3 machines |
| Continue la suite : 3, 6, 12, 24, (“Continue the sequence: 3, 6, 12, 24,”) | 72 tokens · SHA-256 of the token IDs 688effe1…2e162 | 3 machines |
The seed file (JSON, 478 bytes)
{"matiere":{"nom":"gemma-2-2b-it-Q4_K_M.gguf","octets":1708582752,"sha256":"e0aee85060f168f0f2d8473d7ea41ce2f3230c1bc1374847505ea599288a7787","substrat":["hf:bartowski/gemma-2-2b-it-GGUF/gemma-2-2b-it-Q4_K_M.gguf"]},"nom":"gemma2-2b","notes":"licence declaree par l hebergeur : gemma. les poids ne sont pas ici : ils sont NOMMES.","recette":{"classe":"x86-64-fils8","empreinte":"869bef8788166262e4a72fe04f0809756f561a2bae03a52a95e3fb7f294b8226"},"scellee_le":"2026-08-17","v":1}Licence as we read it, in French
Toute redistribution de Gemma OU d'une dérivée doit fournir au destinataire une copie de l'accord, et être accompagnée d'un fichier « Notice » portant exactement : « Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms ».
La politique d'usage prohibé est incorporée par référence et vise explicitement les « Model Derivatives ».
Aucun seuil chiffré.
texte de la licence lu à la source