What are the hardware requirements for Gemma 2 2B It Hermes Function Calling?

Gemma 2 2B It Hermes Function Calling 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 2 2B It Hermes Function Calling and how large is it?

Gemma 2 2B It Hermes Function Calling is developed by SameedHussain, 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 Hermes Function Calling?

Gemma 2 2B It Hermes Function Calling 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 Hermes Function Calling by SameedHussain — VRAM 5.1GB, 8K context

Name: Gemma 2 2B It Hermes Function Calling
Author: SameedHussain

Gemma 2 2B It Hermes Function Calling is an open-source language model by SameedHussain. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2b-bn... En Endpoints compatible Gemma Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/SameedHussain/gemma-2-2b-it-hermes-function-calling

Gemma 2 2B It Hermes Function Calling Parameters and Internals

Model Type

text-generation

Additional Notes

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

Supported Languages

en (proficient)

LLM Name	Gemma 2 2B It Hermes Function Calling
Repository 🤗	https://huggingface.co/SameedHussain/gemma-2-2b-it-hermes-function-calling
Base Model(s)	Gemma 2B Bnb 4bit unsloth/gemma-2b-bnb-4bit
Model Size	2b
Required VRAM	5.1 GB
Updated	2026-08-05
Maintainer	SameedHussain
Model Type	gemma
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemma 2 2B It Hermes Function Calling 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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