What are the hardware requirements for Gemma3 1B Sft Reasoning 2?

Gemma3 1B Sft Reasoning 2 requires approximately 2.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma3 1B Sft Reasoning 2 and how large is it?

Gemma3 1B Sft Reasoning 2 is developed by Efe2898, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma3 1B Sft Reasoning 2 perform on standard benchmarks?

Gemma3 1B Sft Reasoning 2 has the following published scores: LMSYS ELO 1432. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma3 1B Sft Reasoning 2 by Efe2898 — VRAM 2.6GB, 32K context

Name: Gemma3 1B Sft Reasoning 2
Author: Efe2898

Gemma3 1B Sft Reasoning 2 is an open-source language model by Efe2898. Features: 1b LLM, VRAM: 2.6GB, Context: 32K, LLM Explorer Score: 0.37, ELO: 1432.

Gemma3 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Efe2898/gemma3-1b-sft-reasoning-2

Gemma3 1B Sft Reasoning 2 Benchmarks

LMSys ELO 1432 vs 1272 (so35) 12.6%

^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)

Gemma3 1B Sft Reasoning 2 Parameters and Internals

LLM Name	Gemma3 1B Sft Reasoning 2
Repository 🤗	https://huggingface.co/Efe2898/gemma3-1b-sft-reasoning-2
Model Size	1b
Required VRAM	2.6 GB
Updated	2026-03-29
Maintainer	Efe2898
Model Type	gemma3_text
Model Files	2.6 GB
Model Architecture	Gemma3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Gemma3 1B Sft Reasoning 2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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...Gptmini Gemma 3 1B It Seed1010	32K / 2 GB	108	1
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Gemma 3 1B Pt	32K / 2 GB	75224	196
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Note: green Score (e.g. "73.2") means that the model is better than Efe2898/gemma3-1b-sft-reasoning-2.