What are the hardware requirements for Open Llama 13B Open Instruct?

Open Llama 13B Open Instruct requires approximately 26 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 13B Open Instruct and how large is it?

Open Llama 13B Open Instruct is developed by VMware, a model with 13b 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 Open Llama 13B Open Instruct?

Open Llama 13B Open Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Open Llama 13B Open Instruct by VMware — VRAM 26GB, 2K context

Name: Open Llama 13B Open Instruct
Author: VMware

Open Llama 13B Open Instruct is an open-source language model by VMware. Features: 13b LLM, VRAM: 26GB, Context: 2K, License: cc-by-sa-3.0, Instruction-Based, LLM Explorer Score: 0.07.

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-13b-open-instruct

Open Llama 13B Open Instruct Parameters and Internals

Model Type

text generation

Additional Notes

The model might struggle with code as the tokenizer merges multiple spaces.

Supported Languages

en (Supporting English language)

Training Details

Data Sources:

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

Methodology:

Trained using the Alpaca prompt template.

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {instruction} ### Response:

Accepted Modalities:

text

Output Format:

Textual response

Performance Tips:

Set 'use_fast = False' when instantiating the tokenizer to avoid incorrect encoding.

LLM Name	Open Llama 13B Open Instruct
Repository 🤗	https://huggingface.co/VMware/open-llama-13b-open-instruct
Model Size	13b
Required VRAM	26 GB
Updated	2026-07-22
Maintainer	VMware
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
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 13B 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 13B Open Instruct

Model	Likes	Downloads	VRAM
...n Llama 13B Lora Cabra Adapter	2	7	0 GB
...n Llama 13B Open Instruct 8bit	0	7	13 GB
...n Llama 13B Open Instruct GPTQ	10	70	7 GB

Best Alternatives to Open Llama 13B Open Instruct

Best Alternatives	Context / RAM	Downloads	Likes
NexusRaven V2 13B	16K / 26 GB	105	472
CodeLlama 13B Instruct Hf	16K / 26 GB	2469	160
CodeLlama 13B MORepair	16K / 26 GB	9	2
CodeLlama 13B Instruct Hf	16K / 26 GB	369	29
TableLLM 13B	16K / 26 GB	98	34
NexusRaven 13B	16K / 26 GB	37	106
Panda Coder 13B	16K / 26 GB	11	14
... Llama 2 13B Instruct Text2sql	16K / 26 GB	8	28
Gen Sim	16K / 0.3 GB	4	3
Llama 3 13B Instruct Ft	8K / 26.1 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than VMware/open-llama-13b-open-instruct.