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: 0.38, 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%

LLME Score: 0.38031

^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 (Efe2898/gemma3-1b-sft-reasoning-2)

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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

Best Alternatives to Gemma3 1B Sft Reasoning 2

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Note: green Score (e.g. "73.2") means that the model is better than Efe2898/gemma3-1b-sft-reasoning-2.

Rank the Gemma3 1B Sft Reasoning 2 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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Gemma3 1B Sft Reasoning 2 by Efe2898

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Gemma3 1B Sft Reasoning 2 Benchmarks

Gemma3 1B Sft Reasoning 2 Parameters and Internals

Best Alternatives to Gemma3 1B Sft Reasoning 2

Rank the Gemma3 1B Sft Reasoning 2 Capabilities

What open-source LLMs or SLMs are you in search of? 54931 in total.