What are the hardware requirements for Mpt 7B Instruct?

Mpt 7B Instruct requires approximately 13.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mpt 7B Instruct and how large is it?

Mpt 7B Instruct is developed by gl198976, a model with 7b 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 Mpt 7B Instruct?

Mpt 7B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mpt 7B Instruct by gl198976 — VRAM 13.3GB

Name: Mpt 7B Instruct
Author: gl198976

Mpt 7B Instruct is an open-source language model by gl198976. Features: 7b LLM, VRAM: 13.3GB, License: cc-by-sa-3.0, Instruction-Based, LLM Explorer Score: 0.07.

Arxiv:2010.04245 Arxiv:2108.12409 Arxiv:2205.14135 Composer Custom code Dataset:mosaicml/dolly hhrlhf Instruct Llm-foundry Mosaicml Mpt Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/gl198976/mpt-7b-instruct

Mpt 7B Instruct Parameters and Internals

Model Type

Instruction following, Short-form generation

Additional Notes

Trained with EleutherAI/gpt-neox-20b tokenizer

Training Details

Data Sources:

Databricks Dolly-15k, Anthropic Helpful and Harmless (HH-RLHF)

Methodology:

Finetuning

Context Length:

2048

Model Architecture:

Modified decoder-only transformer

Input Output

Accepted Modalities:

Text

Performance Tips:

Use devices such as CUDA for optimized performance with FlashAttention, ALiBi to increase max sequence length.

LLM Name	Mpt 7B Instruct
Repository 🤗	https://huggingface.co/gl198976/mpt-7b-instruct
Model Size	7b
Required VRAM	13.3 GB
Updated	2026-07-19
Maintainer	gl198976
Model Type	mpt
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-2 3.4 GB: 2-of-2 9.9 GB: 1-of-2 3.4 GB: 2-of-2
Model Architecture	MPTForCausalLM
License	cc-by-sa-3.0
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	bfloat16

Rank the Mpt 7B 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

Best Alternatives to Mpt 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 7B Chat	0K / 13.3 GB	80920	518
Mpt 7B Instruct	0K / 13.3 GB	7946	470
Mpt 7B Int8 Ov	0K / 0 GB	13	0
Mpt 7B 8K Instruct	0K / 13.3 GB	2012	27
Sea Lion 7B Instruct	0K / 15 GB	208	23
Sea Lion 7B Instruct Research	0K / 15 GB	11	14
Results	0K / 13.3 GB	7	0
Mpt 7B 8K Chat Sharded Bf16	0K / 13.4 GB	7	1
...7B 8K Instruct Peft Compatible	0K / 13.3 GB	9	1
Vigogne Mpt 7B Instruct	0K / 13.4 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than gl198976/mpt-7b-instruct.