What are the hardware requirements for Gemma 2 2B It Sft Code Alpaca?

Gemma 2 2B It Sft Code Alpaca requires approximately 10.5 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 Sft Code Alpaca and how large is it?

Gemma 2 2B It Sft Code Alpaca is developed by jena-shreyas, 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 Sft Code Alpaca?

Gemma 2 2B It Sft Code Alpaca 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 Sft Code Alpaca by jena-shreyas — VRAM 10.5GB, 8K context

Name: Gemma 2 2B It Sft Code Alpaca
Author: jena-shreyas

Gemma 2 2B It Sft Code Alpaca is an open-source language model by jena-shreyas. Features: 2b LLM, VRAM: 10.5GB, Context: 8K, LLM Explorer Score: 0.17.

Arxiv:1910.09700 Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jena-shreyas/gemma-2-2b-it-sft-code-alpaca

Gemma 2 2B It Sft Code Alpaca Parameters and Internals

LLM Name	Gemma 2 2B It Sft Code Alpaca
Repository 🤗	https://huggingface.co/jena-shreyas/gemma-2-2b-it-sft-code-alpaca
Model Size	2b
Required VRAM	10.5 GB
Updated	2026-05-06
Maintainer	jena-shreyas
Model Type	gemma2
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 0.5 GB: 3-of-3 0.0 GB
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.49.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Gemma 2 2B It Sft Code Alpaca 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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Note: green Score (e.g. "73.2") means that the model is better than jena-shreyas/gemma-2-2b-it-sft-code-alpaca.