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

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

Mpt 7B 8K Chat 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 Chat perform on standard benchmarks?

Mpt 7B 8K Chat has the following published scores: MMLU 41.88. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: Mpt 7B 8K Chat
Author: mosaicml

Mpt 7B 8K Chat is an open-source language model by mosaicml. Features: 7b LLM, VRAM: 13.3GB, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.12, Arc: 48, HellaSwag: 77.6, MMLU: 41.9, GSM8K: 4.4.

Arxiv:2010.04245 Arxiv:2108.12409 Arxiv:2205.14135 Autotrain compatible Composer Conversational Custom code Dataset:anon8231489123/sharegp... Dataset:camel-ai/ai society Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/code Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:ehartford/wizard vicun... Dataset:jondurbin/airoboros-gp... Dataset:longconversations Dataset:timdettmers/openassist... Ext 8k Llm-foundry Mosaicml Mpt Pytorch Region:us Sharded

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

Mpt 7B 8K Chat Parameters and Internals

Model Type

Chatbot, Dialogue Generation

Use Cases

Areas:

research, personal applications

Primary Use Cases:

dialogue generation, chatbot applications

Limitations:

factually incorrect outputs, possible lewd, biased or offensive content

Additional Notes

Finetuned by the MosaicML NLP team, based on MPT-7B-8k, with custom modifications for enhanced dialogue generation.

Training Details

Data Sources:

anon8231489123/ShareGPT_Vicuna_unfiltered, timdettmers/openassistant-guanaco, camel-ai/ai_society, jondurbin/airoboros-gpt4-1.2, LongConversations, camel-ai/physics

Context Length:

2048

Training Time:

approximately 48 minutes

Hardware Used:

192 H100 GPUs

Model Architecture:

Modified decoder-only transformer architecture with FlashAttention and ALiBi

Safety Evaluation

Ethical Considerations:

MPT-7B-Chat-8k can produce factually incorrect outputs and may generate lewd, biased or otherwise offensive content.

Input Output

Accepted Modalities:

text

Output Format:

text

Release Notes

Date:

2023-07-18

Notes:

Initial release of MPT-7B-Chat-8k model.

LLM Name	Mpt 7B 8K Chat
Repository 🤗	https://huggingface.co/mosaicml/mpt-7b-8k-chat
Model Size	7b
Required VRAM	13.3 GB
Updated	2025-09-23
Maintainer	mosaicml
Model Type	mpt
Model Files	9.9 GB: 1-of-2 3.4 GB: 2-of-2
Context Length	8k
Model Architecture	MPTForCausalLM
License	cc-by-nc-sa-4.0
Model Max Length	8192
Transformers Version	4.30.2
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	bfloat16

Rank the Mpt 7B 8K Chat 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 Mpt 7B 8K Chat

Model	Likes	Downloads	VRAM
Mpt 7B 8K Chat AWQ	3	20	3 GB

Best Alternatives to Mpt 7B 8K Chat

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 7B Chat	0K / 13.3 GB	80920	518
Mpt 7B Assistant	0K / 13.3 GB	11	1
Mpt 7B	0K / 13.3 GB	18460	1173
Mpt 7B Instruct	0K / 13.3 GB	7946	470
Mpt 7B Storywriter	0K / 13.3 GB	2261	839
Mpt 7B Int8 Ov	0K / 0 GB	13	0
Mpt 7B	0K / 26.5 GB	3064	1
Mpt 7B 8K	0K / 13.3 GB	1915	26
Shears Mpt 7B 50 Base	0K / 13.3 GB	5	2
Mpt 7B 8K Instruct	0K / 13.3 GB	2012	27

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