What are the hardware requirements for MPT 7B Instruct GGML?

MPT 7B Instruct GGML requires approximately 3.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MPT 7B Instruct GGML and how large is it?

MPT 7B Instruct GGML is developed by TheBloke, 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 GGML?

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

MPT 7B Instruct GGML by TheBloke — VRAM 3.7GB

Name: MPT 7B Instruct GGML
Author: TheBloke

MPT 7B Instruct GGML is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.7GB, License: cc-by-sa-3.0, Quantized, Instruction-Based, LLM Explorer Score: 0.07.

Arxiv:2010.04245 Arxiv:2108.12409 Arxiv:2205.14135 Composer Dataset:mosaicml/dolly hhrlhf Ggml Instruct Llm-foundry Mosaicml Mpt Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/MPT-7B-Instruct-GGML

MPT 7B Instruct GGML Parameters and Internals

Model Type

short-form instruction following, fine-tuned transformer

Use Cases

Areas:

short-form instructions, LLM fine-tuning

Primary Use Cases:

short-form instruction following

Limitations:

may produce factually incorrect or offensive outputs

Considerations:

The model may require further refining for specific instructional tasks.

Additional Notes

The model uses FlashAttention, ALiBi and does not use positional embeddings.

Training Details

Data Sources:

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

Methodology:

Finetuning on MPT-7B using specific datasets for instruction following

Context Length:

2048

Model Architecture:

Modified decoder-only transformer

Input Output

Input Format:

Standard text prompt for short-form instructions.

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

Increased sequence length possible with ALiBi.

LLM Name	MPT 7B Instruct GGML
Repository 🤗	https://huggingface.co/TheBloke/MPT-7B-Instruct-GGML
Base Model(s)	...its Peft Train Eli5 1 Epoch V7 NickyNicky/MPT-7b-instruct-QLora-8Bits-Peft-train_eli5-1_Epoch-V7
Model Size	7b
Required VRAM	3.7 GB
Updated	2026-07-22
Maintainer	TheBloke
Model Type	mpt
Instruction-Based	Yes
Model Files	13.3 GB 3.7 GB 4.2 GB 4.6 GB 5.0 GB 7.1 GB
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	cc-by-sa-3.0

Rank the MPT 7B Instruct GGML 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 GGML

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 7B Instruct GGML	0K / 3 GB	10	20
Llama 2 7B 32K Instruct GGML	0K / 2.9 GB	7	8
Vigogne 2 7B Instruct GGML	0K / 2.9 GB	4	2
Falcon 7B Instruct GGML	0K / 4.1 GB	12	40
Redpajama 7B GGML	0K / 3.9 GB	9	3
Mpt 7B GGML	0K / 3.7 GB	21	46
Badqubits Mistral 7B V03 Ft	0K / 0.2 GB	28	1
Poetes Mistral 7B Lora	0K / 0.2 GB	25	1
Qwen Phoenix Lora	0K / 0.2 GB	17	1
Forma Uiux Auditor	0K / 0.2 GB	25	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MPT-7B-Instruct-GGML.