What are the hardware requirements for Gemma2 2B OpenHermes2.5?

Gemma2 2B OpenHermes2.5 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 Gemma2 2B OpenHermes2.5 and how large is it?

Gemma2 2B OpenHermes2.5 is developed by artificialguybr, 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 Gemma2 2B OpenHermes2.5?

Gemma2 2B OpenHermes2.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma2 2B OpenHermes2.5 by artificialguybr — VRAM 5.2GB, 8K context

Name: Gemma2 2B OpenHermes2.5
Author: artificialguybr

Gemma2 2B OpenHermes2.5 is an open-source language model by artificialguybr. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.13.

Chatml Dataset:teknium/openhermes-2.5 Distillation En Endpoints compatible Finetuned Gemma Gemma2 Gpt4 Instruct Region:us Safetensors Sharded Synthetic data Tensorflow

Model Card on HF 🤗: https://huggingface.co/artificialguybr/Gemma2-2B-OpenHermes2.5

Gemma2 2B OpenHermes2.5 Parameters and Internals

Model Type

Causal Language Model

Use Cases

Primary Use Cases:

text generation, question answering, general language understanding

Limitations:

Not suitable for generating harmful or biased content

Considerations:

Users should be aware of potential biases in the training data.

Supported Languages

English (proficient)

Training Details

Data Sources:

teknium/OpenHermes-2.5

Hardware Used:

NVIDIA A100-SXM4-80GB (1 GPU)

LLM Name	Gemma2 2B OpenHermes2.5
Repository 🤗	https://huggingface.co/artificialguybr/Gemma2-2B-OpenHermes2.5
Model Size	2b
Required VRAM	5.2 GB
Updated	2026-08-05
Maintainer	artificialguybr
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 0.2 GB: 2-of-2 5.2 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma2 2B OpenHermes2.5 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 artificialguybr/Gemma2-2B-OpenHermes2.5.