gemma-3-1b-it

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gemma-3-1b-it

google/gemma-3-1b-it

kind: original
quant: bf16 (16-bit)
family: gemma
modality: text-generation
root model: google/gemma-3-1b-pt
provider: google
license: gemma
language: —
context: —
library: transformers
vRAM (GB): —
size on disk: —
downloads: 3,187,943
likes: 1,067
created: —
last modified: 2025-04-04T13:12:40+00:00 (2025)
huggingface: https://huggingface.co/google/gemma-3-1b-it
tags: transformerssafetensorsgemma3_texttext-generationconversationalarxiv:1905.07830arxiv:1905.10044arxiv:1911.11641arxiv:1904.09728arxiv:1705.03551arxiv:1911.01547arxiv:1907.10641arxiv:1903.00161arxiv:2009.03300arxiv:2304.06364arxiv:2103.03874arxiv:2110.14168arxiv:2311.12022arxiv:2108.07732arxiv:2107.03374arxiv:2210.03057arxiv:2106.03193arxiv:1910.11856arxiv:2502.12404

Benchmark scores (20)

benchmark	category	score	context	conf	evidence
PIQA	knowledge	73.8	[PIQA][]	medium	`\| [PIQA][piqa] \| 0-shot \| 73.8 \| 79.6 \| 81.8 \| 83.3 \|`
DocVQA	multimodal	72.8	[DocVQA][] (val)	medium	`\| [DocVQA][docvqa] (val) \| 72.8 \| 82.3 \| 85.6 \|`
ChartQA	multimodal	63.6	[ChartQA][]	medium	`\| [ChartQA][chartqa] \| 63.6 \| 74.7 \| 76.3 \|`
BoolQ	knowledge	63.2	[BoolQ][]	medium	`\| [BoolQ][boolq] \| 0-shot \| 63.2 \| 72.3 \| 78.8 \| 82.4 \|`
HellaSwag	knowledge	62.3	[HellaSwag][]	medium	`\| [HellaSwag][hellaswag] \| 10-shot \| 62.3 \| 77.2 \| 84.2 \| 85.6 \|`
MMLU	knowledge	59.6	[MMLU][]	medium	`\| [MMLU][mmlu] \| 5-shot \| 59.6 \| 74.5 \| 78.6 \|`
WinoGrande	knowledge	58.2	[WinoGrande][]	medium	`\| [WinoGrande][winogrande] \| 5-shot \| 58.2 \| 64.7 \| 74.3 \| 78.8 \|`
MBPP	coding	46.0	[MBPP][]	medium	`\| [MBPP][mbpp] \| 3-shot \| 46.0 \| 60.4 \| 65.6 \|`
DROP	reasoning	42.4	[DROP][]	medium	`\| [DROP][drop] \| 1-shot \| 42.4 \| 60.1 \| 72.2 \| 77.2 \|`
AGIEval	reasoning	42.1	[AGIEval][]	medium	`\| [AGIEval][agieval] \| 3-5-shot \| 42.1 \| 57.4 \| 66.2 \|`
TriviaQA	knowledge	39.8	[TriviaQA][]	medium	`\| [TriviaQA][triviaqa] \| 5-shot \| 39.8 \| 65.8 \| 78.2 \| 85.5 \|`
MMMU	multimodal	39.2	[MMMU][] (pt)	medium	`\| [MMMU][mmmu] (pt) \| 39.2 \| 50.3 \| 56.1 \|`
GSM8K	math	38.4	[GSM8K][]	medium	`\| [GSM8K][gsm8k] \| 8-shot \| 38.4 \| 71.0 \| 82.6 \|`
HumanEval	coding	36.0	[HumanEval][]	medium	`\| [HumanEval][humaneval] \| 0-shot \| 36.0 \| 45.7 \| 48.8 \|`
MMLU	knowledge	29.2	[MMLU][] (Pro COT)	medium	`\| [MMLU][mmlu] (Pro COT) \| 5-shot \| 29.2 \| 45.3 \| 52.2 \|`
BBH	reasoning	28.4	[BIG-Bench Hard][]	medium	`\| [BIG-Bench Hard][bbh] \| few-shot \| 28.4 \| 50.9 \| 72.6 \| 77.7 \|`
MMLU	knowledge	24.9	[Global-MMLU-Lite][global--lite]	medium	`\| [Global-MMLU-Lite][global-mmlu-lite] \| 24.9 \| 57.0 \| 69.4 \| 75.7 \|`
MATH	math	24.2	[MATH][]	medium	`\| [MATH][math] \| 4-shot \| 24.2 \| 43.3 \| 50.0 \|`
GPQA	reasoning	15.0	[GPQA][]	medium	`\| [GPQA][gpqa] \| 5-shot \| 15.0 \| 25.4 \| 24.3 \|`
MGSM	math	2.04	[MGSM][]	medium	`\| [MGSM][mgsm] \| 2.04 \| 34.7 \| 64.3 \| 74.3 \|`

Discussions (45)

title	author	status	type
Update generation_config.json	erickhj	open	disc
Gemma-3-1B runs beautifully on Snapdragon 865	3morixd	open	disc
TemporalMesh Transformer: 29.4 PPL at 48% compute — dynamic graph attention + adaptive exit gates (open-source, 226 tests)	vigneshwar234	open	disc
Add EvalEval community eval results	EvalEvalBot	open	disc
Update README.md	Mew22	closed	disc
Request: DOI	MartaAguilarMorcillo	open	disc
Request: DOI	Behnambagi	open	disc
Personal	zak90zakarezohra	draft	disc
Request: DOI	zak90zakarezohra	closed	disc
Multilingual Translation?	anshuKr	open	disc
Request: DOI	rabiulhassan	open	disc
GraiLLM	Caesaropapism	draft	disc
Cannot load model or tokenizer	IJSDerbashi	closed	disc
How to finetune this and make it work using mediapipe on kotlin with GPU delegate support like litert-community/Gemma3-1B-IT ?	andromedazt	open	disc
Request: DOI	Najin06	open	disc
Add chat_template.json	raphaelmerx	open	disc
Is it able to select languages after training for generating text?	DuongLeVan	open	disc
Get AutoProcessor working	mamousavi	draft	disc
[Gemma-3-1B] Gibberish outputs after instruction fine-tuning	razumelo	open	disc
Honest Review	kalashshah19	open	disc
Update README.md	krooner	open	disc
Request: DOI	frdfd	open	disc
TRAINING DATA	amanpreet7	open	disc
Gemma	KairosEtp	draft	disc
OSError: ./gemma-3-1b-it does not appear to have a file named preprocessor_config.json.	zjnyly	closed	disc
OSError: Can't load tokenizer for 'google/gemma-3-1b-it'.	JeffMII	open	disc
RuntimeError: value cannot be converted to type uint8_t without overflow	TyJaJa	open	disc
Request: DOI	S22-22	open	disc
Why are vocab_size and tokenizer different length?	choco9966	open	disc
Update config.json	GIronMan	closed	disc
Update README.md	merve	merged	disc
GUI python	sportcmaneiro	open	disc
Update README.md	GopiUppari	merged	disc
Serving on vLLM creates nonsense responses	cahmetcan	open	disc
Remove development branch of transformers	farzadab	open	disc
Use the model as a sequence classifier	A123hmed	open	disc
Transformers Pipeline Error: AttributeError: 'NoneType' object has no attribute 'apply_chat_template'	steve122192	open	disc
AttributeError: 'HybridCache' object has no attribute 'float'	naruto-soop	open	disc
Remove processor class from tokenizer_config.json	Xenova	open	disc
What transformers version can this be deployed with?	Khalizo	open	disc
Update EOS tokens	pcuenq	merged	disc
Update chat_template	Xenova	merged	disc
Add code snippet, change pipeline tag and library name	merve	merged	disc
Final conversion test for evaluation	pcuenq	closed	disc
Final conversion test for evaluation	pcuenq	closed	disc