What are the hardware requirements for Open Llama 0.7T 7B Open Instruct V1.1?

Open Llama 0.7T 7B Open Instruct V1.1 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 0.7T 7B Open Instruct V1.1 and how large is it?

Open Llama 0.7T 7B Open Instruct V1.1 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 0.7T 7B Open Instruct V1.1 perform on standard benchmarks?

Open Llama 0.7T 7B Open Instruct V1.1 has the following published scores: MMLU 28.55. Compare against reference models on this page or on the LLM Explorer leaderboards.

Open Llama 0.7T 7B Open Instruct V1.1 by VMware — VRAM 13.5GB, 2K context

Name: Open Llama 0.7T 7B Open Instruct V1.1
Author: VMware

Open Llama 0.7T 7B Open Instruct V1.1 is an open-source language model by VMware. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, License: cc, Instruction-Based, LLM Explorer Score: 0.11, Arc: 46.7, HellaSwag: 67.7, MMLU: 28.6, GSM8K: 0.8.

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

Model Card on HF 🤗: https://huggingface.co/VMware/open-llama-0.7T-7B-open-instruct-v1.1

Open Llama 0.7T 7B Open Instruct V1.1 Parameters and Internals

Model Type

transformer, conversational

Training Details

Data Sources:

VMware/open-instruct-v1.1-oasst-dolly-hhrlhf

Data Volume:

700B tokens

Input Output

Input Format:

Prompt template for instruction and response.

Accepted Modalities:

text

Output Format:

Text

Release Notes

Version:

1.1

Notes:

Final version available with updates to Alpaca prompt template.

LLM Name	Open Llama 0.7T 7B Open Instruct V1.1
Repository 🤗	https://huggingface.co/VMware/open-llama-0.7T-7B-open-instruct-v1.1
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-02
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
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 0.7T 7B Open Instruct V1.1 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 Open Llama 0.7T 7B Open Instruct V1.1

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124	1024K / 16.1 GB	93	0
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... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
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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-0.7T-7B-open-instruct-v1.1.