What are the hardware requirements for Gemma 2B Data Std?

Gemma 2B Data Std requires approximately 5.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2B Data Std and how large is it?

Gemma 2B Data Std is developed by jylee420, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 2B Data Std perform on standard benchmarks?

Gemma 2B Data Std has the following published scores: MMLU 35.82. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 2B Data Std by jylee420 — VRAM 5.1GB, 8K context

Name: Gemma 2B Data Std
Author: jylee420

Gemma 2B Data Std is an open-source language model by jylee420. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: other, LLM Explorer Score: 0.16, Arc: 37.5, HellaSwag: 32.5, MMLU: 35.8, GSM8K: 0.2.

Arxiv:1910.09700 Endpoints compatible Gemma Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jylee420/gemma-2b-data-std

Gemma 2B Data Std Benchmarks

ARC: 37.54 vs 96.7 (so35)^-61.2%

HellaSwag: 32.49 vs 95.3 (gpt4)^-65.9%

MMLU: 35.82 vs 88.3 (so35)^-59.4%

GSM8K: 0.15 vs 96.4 (so35)^-99.8%

LLME Score: 0.16453

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 2B Data Std (jylee420/gemma-2b-data-std)

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Gemma 2B Data Std Parameters and Internals

Supported Languages

Korean (trained), English (trained)

Training Details

Data Volume:

6 million tokens

LLM Name	Gemma 2B Data Std
Repository 🤗	https://huggingface.co/jylee420/gemma-2b-data-std
Model Size	2b
Required VRAM	5.1 GB
Updated	2026-05-07
Maintainer	jylee420
Model Type	gemma
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Model Architecture	GemmaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.1
Tokenizer Class	GemmaTokenizer
Padding Token	<eos>
Vocabulary Size	256000
Torch Data Type	float16

Best Alternatives to Gemma 2B Data Std

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 1.1 2B It	8K / 5.1 GB	80705	172
Gemma 1.1 2B It	8K / 5 GB	72	3
Codegemma 2B	8K / 5.1 GB	32439	98
Gita SastraGPT V1	8K / 5.1 GB	19	1
Caca Tinny 2B V3	8K / 5.1 GB	4	1
Pandas Tutor Gemma 2B	8K / 5.1 GB	8	1
Gemma Qlora Customer Support	8K / 5.1 GB	23	0
... 2B Finetuned Sft Navarasa 2.0	8K / 10 GB	1006	26
Octopus V2	8K / 5.1 GB	1387	885
Bge Reranker V2 Gemma	8K / 10 GB	25031	84

Note: green Score (e.g. "73.2") means that the model is better than jylee420/gemma-2b-data-std.

Rank the Gemma 2B Data Std Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Gemma 2B Data Std by jylee420

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Gemma 2B Data Std Benchmarks

Gemma 2B Data Std Parameters and Internals

Best Alternatives to Gemma 2B Data Std

Rank the Gemma 2B Data Std Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.