What are the hardware requirements for Open Llama 7B Open Instruct?

Open Llama 7B Open Instruct requires approximately 13.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Open Llama 7B Open Instruct and how large is it?

Open Llama 7B Open Instruct is developed by VMware, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Open Llama 7B Open Instruct perform on standard benchmarks?

Open Llama 7B Open Instruct has the following published scores: MMLU 31.52. Compare against reference models on this page or on the LLM Explorer leaderboards.

Open Llama 7B Open Instruct by VMware — VRAM 13.5GB, 2K context

Name: Open Llama 7B Open Instruct
Author: VMware

Open Llama 7B Open Instruct is an open-source language model by VMware. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, License: cc-by-sa-3.0, Instruction-Based, LLM Explorer Score: 0.11, Arc: 49.7, HellaSwag: 73.7, MMLU: 31.5, GSM8K: 0.5.

Dataset:vmware/open-instruct-v... Deploy:azure En Endpoints compatible Instruct Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/VMware/open-llama-7b-open-instruct

Open Llama 7B Open Instruct Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Commercial use

Supported Languages

en (high)

Training Details

Data Sources:

VMware/open-instruct-v1-oasst-dolly-hhrlhf

Methodology:

Fine-tuned using the Alpaca prompt template

Input Output

Input Format:

Custom instruction templates

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

Use `use_fast=False` when instantiating tokenizer for correct tokenization.

LLM Name	Open Llama 7B Open Instruct
Repository 🤗	https://huggingface.co/VMware/open-llama-7b-open-instruct
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-01
Maintainer	VMware
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-sa-3.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Open Llama 7B Open Instruct 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

Quantized Models of the Open Llama 7B Open Instruct

Model	Likes	Downloads	VRAM
...Llama 7B V2 Open Instruct GPTQ	2	7	4 GB
...en Llama 7B Open Instruct GPTQ	6	6	3 GB

Best Alternatives to Open Llama 7B Open Instruct

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	927	2
SuperNeuralDreadDevil 8B	128K / 16.1 GB	14	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9
Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than VMware/open-llama-7b-open-instruct.