What are the hardware requirements for Mpt 7B 8K Instruct?

Mpt 7B 8K 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 8K Instruct and how large is it?

Mpt 7B 8K Instruct is developed by mosaicml, 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 Mpt 7B 8K Instruct perform on standard benchmarks?

Mpt 7B 8K Instruct has the following published scores: MMLU 42.11. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mpt 7B 8K Instruct by mosaicml — VRAM 13.3GB

Name: Mpt 7B 8K Instruct
Author: mosaicml

Mpt 7B 8K Instruct is an open-source language model by mosaicml. Features: 7b LLM, VRAM: 13.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12, Arc: 45.5, HellaSwag: 74.4, MMLU: 42.1, GSM8K: 20.6.

Model Card on HF 🤗: https://huggingface.co/mosaicml/mpt-7b-8k-instruct

Mpt 7B 8K Instruct Parameters and Internals

Model Type

Long-form instruction following, Question-answering, Summarization

Use Cases

Areas:

Research, Commercial applications

Limitations:

Can produce factually incorrect output, Possibility to generate lewd, biased or offensive outputs

Considerations:

This model should not be relied on to produce factually accurate information.

Additional Notes

Propensity to produce factually incorrect and possibly harmful outputs.

Training Details

Data Sources:

competition_math, duorc, cot_gsm8k, qasper, quality, summ_screen_fd, spider, mosaicml/dolly_hhrlhf, knkarthick/dialogsum

Data Volume:

Approximately 62.65M tokens in total

Context Length:

2048

Training Time:

About 6.3 hours on 8 80GB A100s

Hardware Used:

8 x 80GB A100 GPUs

Model Architecture:

Modified from a standard decoder-only transformer with FlashAttention, ALiBi, and no positional embeddings or biases

Input Output

Input Format:

Text prompts

Accepted Modalities:

Text

Output Format:

Text

Performance Tips:

Use the torch.autocast context manager when running Torch modules in lower precision.

LLM Name	Mpt 7B 8K Instruct
Repository 🤗	https://huggingface.co/mosaicml/mpt-7b-8k-instruct
Model Size	7b
Required VRAM	13.3 GB
Updated	2025-09-23
Maintainer	mosaicml
Model Type	mpt
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-2 3.4 GB: 2-of-2
Context Length	8k
Model Architecture	MPTForCausalLM
License	apache-2.0
Model Max Length	8192
Transformers Version	4.30.2
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	bfloat16

Rank the Mpt 7B 8K 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 8K 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
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
...pt 7B Instruct Peft Compatible	0K / 13.3 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than mosaicml/mpt-7b-8k-instruct.