Models › gemma-1.1 family

google Gemma Terms of Use out 3 years ago

2.51B parameters, text in, text out, 8K tokens of context.

Verified 2026-10-25 Rank #645 in LLMs · score 73.2 method v1 Sources 3 Downloads 30d 16.8k · #470 of 619 tracked

Can I run it?1.5GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Gemma Terms of UseGoogle's terms + prohibited-use policy; must pass terms downstreamlicence file2026-10-24
Do people use it?16.8kdownloads, 30 days#470 of 619 we track · below the median+1 likes, downloads −41% this week175 likesHugging Face2026-10-24

Worth reading

Picked by rule from 1 tracked piece: the lab's own post, the most shared, a field report, the latest.

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 6 quantized builds and 100 Spaces.

  • As a service0no API provider listed
  • On own hardware6quantized builds
  • Built on4816 fine-tunes · 25 adapters · 7 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: KingNish/Very-Fast-Chatbot ♥ 46 · NiansuhAI/HFLLMs ♥ 30 · GenAICoder/MultiPDFChatbot ♥ 20 · Justinrune/LLaMA-Factory ♥ 12

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 1.5 GB at INT4, 3.0 GB at FP8, 6.0 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 1.5 GB of weights (estimate; KV cache and activations extra)INT41.5 GBFP8: about 3.0 GB of weights (estimate; KV cache and activations extra)FP83.0 GBBF16: about 6.0 GB of weights (estimate; KV cache and activations extra)BF166.0 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 1.5 GB of weights (estimate; KV cache and activations extra)INT41.5 GBFP8: about 3.0 GB of weights (estimate; KV cache and activations extra)FP83.0 GBBF16: about 6.0 GB of weights (estimate; KV cache and activations extra)BF166.0 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

1 dated article and 12 repo commits so far

Teal is the weights (2024-03-26), amber triangles are 1 dated article (each links to it), grey ticks are repo commits.

AprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-06-27: 1 repo commit2024-04-16: 1 repo commit2024-04-11: 1 repo commit2024-04-05: 3 repo commits2024-04-04: 1 repo commit2024-04-03: 3 repo commits2024-03-26: 2 repo commitsI am happy to announce that Gemma 1.1 Instruct 2B and "7B" are out · 2024-04-08Weights 2024-03-26 · 2024-03-26Weights 2024-03-26now
AprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-06-27: 1 repo commit2024-04-16: 1 repo commit2024-04-11: 1 repo commit2024-04-05: 3 repo commits2024-04-04: 1 repo commit2024-04-03: 3 repo commits2024-03-26: 2 repo commitsI am happy to announce that Gemma 1.1 Instruct 2B and "7B" are out · 2024-04-08Weights 2024-03-26 · 2024-03-26Weights 2024-03-26now

What people built on it

54 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

54 derivatives on the Hub, led by 25 adapters

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

6 quantized (Hugging Face model tree)16 fine-tunes (Hugging Face model tree)7 merges (Hugging Face model tree)25 adapters (Hugging Face model tree)6 quantized16 fine-tunes7 merges25 adapters
6 quantized (Hugging Face model tree)16 fine-tunes (Hugging Face model tree)7 merges (Hugging Face model tree)25 adapters (Hugging Face model tree)6 quantized16 fine-tunes7 merges25 adapters

All variants →

Reference

Everything else, folded: the full tables, every source.

What the card says

1 cited sentence

Summary generated, cited

Gemma 1.1 2B (IT) is a 2.51B parameter instruction-tuned text-to-text model developed by Google.[1][2]

  1. parameters human
  2. “This is Gemma 1.1 2B (IT)”

Generated 2026-10-07 15:12 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

2 use cases

What it is good at 2 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

20 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesGemmaForCausalLM
Model typegemma
Dtypebfloat16
Params by dtypeBF16: 2,506,172,416
Size bandM
MoEno
Context length8,192 (config.json max_position_embeddings)
Gatedmanual
PapersarXiv:2312.11805, arXiv:2009.03300, arXiv:1905.07830, arXiv:1911.11641, arXiv:1904.09728, arXiv:1905.10044, arXiv:1907.10641, arXiv:1811.00937, arXiv:1809.02789, arXiv:1911.01547, arXiv:1705.03551, arXiv:2107.03374, arXiv:2108.07732, arXiv:2110.14168, arXiv:2304.06364, arXiv:2206.04615, arXiv:1804.06876, arXiv:2110.08193
LicenseGemma Terms of Use (gemma)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · GemmaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · GemmaForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for gemma-1.1-2b-it: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)6.0 GB · Single GPU (<24 GB)
FP8 (1 byte/param)3.0 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)1.5 GB · Edge (<4 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: google/gemma-1.1 54 derivatives on the Hub

merge: 7quantized: 6finetune: 16adapter: 25

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
lemon-mint/gemma-ko-1.1-2b-it merge — 2.51B M gemma lemon-mint 1 39.2k
second-state/gemma-1.1-2b-it-GGUF quantized GGUF — — gemma second-state 0 7.1k
MaziyarPanahi/gemma-1.1-2b-it-GGUF quantized GGUF — — — MaziyarPanahi 0 6.1k
mradermacher/gemma-1.1-2b-it-i1-GGUF quantized GGUF — — gemma mradermacher 0 5.2k
SicariusSicariiStuff/2B_or_not_2B finetune — 2.51B M gemma SicariusSicariiStuff 26 2.7k
lemon-mint/gemma-2b-translation-v0.90 finetune — 2.51B M gemma lemon-mint 0 4k
lemon-mint/gemma-2b-translation-v0.131 finetune — 2.51B M gemma lemon-mint 0 4k
mradermacher/gemma-1.1-2b-it-GGUF quantized GGUF — — gemma mradermacher 0 2.5k
featherless-ai-quants/google-gemma-1.1-2b-it-GGUF quantized GGUF — — — featherless-ai-quants 0 2k
cat-searcher/gemma-1.1-2b-it-sppo-iter0-evol-mixed finetune — 2.51B M gemma cat-searcher 0 1.6k
BSVGK/gemma-1.1-2b-it-drugbank-kg2text-merged-v2 adapter — 2.51B M mit BSVGK 1 958
aiqwe/gemma-2b-it-example-v1 adapter — — — gemma aiqwe 0 842
andreass123/gemma-ko-1.1-2b-it-2-Q4_K_M-GGUF merge GGUF — — gemma andreass123 0 760
mnsims1024/TallGemma-Raw merge — 6.47B M — mnsims1024 0 701
lemon-mint/gemma-2b-translation-v0.140 finetune — 2.51B M gemma lemon-mint 0 599
lemon-mint/gemma-2b-translation-v0.91 finetune — 2.51B M gemma lemon-mint 0 593
lemon-mint/gemma-2b-translation-v0.92 finetune — 2.51B M gemma lemon-mint 0 569
Recaru/gemma-ko-1.1-2b-it-Q5_K_M-GGUF merge GGUF — — gemma Recaru 0 506
RituGujela100/gemma-qlora-customer-support finetune — 2.51B M mit RituGujela100 0 428
lemon-mint/gemma-2b-diff-model merge — 2.51B M gemma lemon-mint 0 424
ScienceArtMagic/TallGemma-Raw merge — 6.47B M — ScienceArtMagic 0 248
mlx-community/gemma-1.1-2b-it-bf16 finetune -bf16 2.51B M gemma mlx-community 0 230
Pisethan/khmer-gemma-lesson-lora adapter — — — — Pisethan 0 175
EricB/gemma-1.1-2b-it-UQFF quantized — — — — EricB 0 161
Venkatesh4342/gemma-1.1-2b-it-code2instruct adapter — — — gemma Venkatesh4342 0 151
RituGujela100/gemma-qlora-customer-support-v2.0 finetune — 2.51B M mit RituGujela100 0 148
zeromodels/gemma-1.1-2b-it finetune — — — gemma zeromodels 0 142
ihork/gm1.1-2it-ft2 adapter — — — gemma ihork 0 112
lemon-mint/gemma-ko-1.1-2b-it-2 merge — 2.51B M gemma lemon-mint 1 59
sanjaydasgupta/s11a-to-json-gemma-2b-it adapter — — — — sanjaydasgupta 0 96
BSVGK/gemma-1.1-2b-it-drugbank-kg2text-lora-v2 adapter — — — mit BSVGK 0 77
JosephLee/science_textbook_gemma_2B adapter — — — — JosephLee 0 73
ilkeileri/gemma-sales-comprehensive adapter — — — apache-2.0 ilkeileri 0 68
ndr12/gemmatrain finetune — 2.51B M apache-2.0 ndr12 0 56
FaustusFaber31/gemma-4-E4B-it-awq-int4-xlam finetune awq — — gemma FaustusFaber31 1 0
Eya0910/finetuned-gemma3 adapter — 2.51B M — Eya0910 0 44
appohfaiths/gemma-edu-med finetune — 2.51B M gemma appohfaiths 0 43
date3k2/gemma-2b-it-sft-vi-alpaca adapter — — — gemma date3k2 0 42
BotatoFontys/FinetunedModel adapter — 2.55B M gemma BotatoFontys 0 41
LINGESH-7/Gemma-1.1-2B-Instruct-FT-harpomaxx-unix-commands adapter — — — other LINGESH-7 0 41

Repository changelog

12 commits

Repository changelog 12 commits

DateCommitSHA
2024-06-27 Update link to terms (#17) d750f5e
2024-04-16 Fix tokenizer (#13) bf4924f
2024-04-11 Update benchmark scores and averages for 1.1 28d20bc
2024-04-05 Update README (#10) 1ef79cc
2024-04-05 Update README (#7) 361dc59
2024-04-05 Update README (#6) 8cbb605
2024-04-04 Update README (#4) e582a4f
2024-04-03 Model card (#2) 2dcbbb4
2024-04-03 config-updates (#1) d7f3260
2024-04-03 Update Weights (#3) 70802db
2024-03-26 Upload folder using huggingface_hub 36772d4
2024-03-26 initial commit e18302d

Articles and coverage

1 piece

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency.

Community1

twitter.com2024-04-08about the gemma 1.1 familyHN 1 pts · 0 comments

Papers

8 papers

Papers 8

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:40 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-25

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