What are the hardware requirements for Gemma 2 2B It Finetuned?

Gemma 2 2B It Finetuned requires approximately 5.2 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 2 2B It Finetuned and how large is it?

Gemma 2 2B It Finetuned is developed by lalagi2, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 2 2B It Finetuned?

Gemma 2 2B It Finetuned is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 2B It Finetuned by lalagi2 — VRAM 5.2GB, 8K context

Name: Gemma 2 2B It Finetuned
Author: lalagi2

Gemma 2 2B It Finetuned is an open-source language model by lalagi2. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, Fine-Tuned, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Conversational Endpoints compatible Finetuned Gemma2 Llama-factory Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lalagi2/gemma-2-2b-it_finetuned

Gemma 2 2B It Finetuned Parameters and Internals

LLM Name	Gemma 2 2B It Finetuned
Repository 🤗	https://huggingface.co/lalagi2/gemma-2-2b-it_finetuned
Model Size	2b
Required VRAM	5.2 GB
Updated	2026-07-25
Maintainer	lalagi2
Model Type	gemma2
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.2 GB: 3-of-3
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.45.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 2B It Finetuned capabilities

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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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SJT 2B	128K / 5.2 GB	16	0
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Gemma 2 2B It	8K / 5.2 GB	10	0
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Slm Gemma 2B Qa	8K / 5.2 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than lalagi2/gemma-2-2b-it_finetuned.