What are the hardware requirements for Meta Llama 3.1 8B Openhermes 2.5?

Meta Llama 3.1 8B Openhermes 2.5 requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3.1 8B Openhermes 2.5 and how large is it?

Meta Llama 3.1 8B Openhermes 2.5 is developed by artificialguybr, a model with 8b 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 Meta Llama 3.1 8B Openhermes 2.5?

Meta Llama 3.1 8B Openhermes 2.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3.1 8B Openhermes 2.5 by artificialguybr — VRAM 16.1GB, 128K context

Name: Meta Llama 3.1 8B Openhermes 2.5
Author: artificialguybr

Meta Llama 3.1 8B Openhermes 2.5 is an open-source language model by artificialguybr. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: meta, LLM Explorer Score: 0.13.

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

Model Card on HF 🤗: https://huggingface.co/artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5

Meta Llama 3.1 8B Openhermes 2.5 Parameters and Internals

Model Type

Causal Language Model

Use Cases

Primary Use Cases:

text generation, question answering, language-related applications

Considerations:

The model should not be used for generating harmful or biased content. Users should be aware of potential biases in the training data.

Additional Notes

More information is needed about specific limitations and biases of this model.

Supported Languages

en (English)

Training Details

Data Sources:

teknium/OpenHermes-2.5

Hardware Used:

NVIDIA A100-SXM4-80GB (1 GPU)

Model Architecture:

LlamaForCausalLM

LLM Name	Meta Llama 3.1 8B Openhermes 2.5
Repository 🤗	https://huggingface.co/artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-31
Maintainer	artificialguybr
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 16.1 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3.1 8B Openhermes 2.5 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

Best Alternatives to Meta Llama 3.1 8B Openhermes 2.5

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than artificialguybr/Meta-Llama-3.1-8B-openhermes-2.5.