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

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

Mpt 7B 8K Instruct Peft Compatible is developed by eluzhnica, 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 8K Instruct Peft Compatible?

Mpt 7B 8K Instruct Peft Compatible is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mpt 7B 8K Instruct Peft Compatible by eluzhnica — VRAM 13.3GB

Name: Mpt 7B 8K Instruct Peft Compatible
Author: eluzhnica

Mpt 7B 8K Instruct Peft Compatible is an open-source language model by eluzhnica. Features: 7b LLM, VRAM: 13.3GB, License: cc-by-sa-3.0, Instruction-Based, LLM Explorer Score: 0.08.

Arxiv:2010.04245 Arxiv:2108.12409 Arxiv:2205.14135 Composer Custom code Ext 8k Instruct Llm-foundry Mosaicml Mpt Pytorch Region:us Sharded

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

Mpt 7B 8K Instruct Peft Compatible Parameters and Internals

Model Type

text generation, decoder-only transformer

Additional Notes

Model includes advanced architectural modifications like FlashAttention and ALiBi and doesn't utilize positional embeddings or biases.

Training Details

Data Sources:

Dolly HHRLHF, Competition Math, Duorc, CoT GSM8k, Qasper, Quality, Summ Screen FD, Spider

Data Volume:

approximately 43.9 million tokens

Methodology:

Finetuning with custom decoder-only transformer architecture using MPT-7B-chat tokenizer

Context Length:

2048

Training Time:

6.3 hours

Hardware Used:

8 80GB A100 GPUs

Model Architecture:

Modification of a standard decoder-only transformer utilizing FlashAttention, ALiBi and no biases

Input Output

Input Format:

Text input using MPT-7B-chat tokenizer

Accepted Modalities:

text

Output Format:

Text output

Performance Tips:

Use trust_remote_code=True in from_pretrained method

LLM Name	Mpt 7B 8K Instruct Peft Compatible
Repository 🤗	https://huggingface.co/eluzhnica/mpt-7b-8k-instruct-peft-compatible
Model Size	7b
Required VRAM	13.3 GB
Updated	2026-08-05
Maintainer	eluzhnica
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	cc-by-sa-3.0
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 Peft Compatible 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 Peft Compatible

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
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 eluzhnica/mpt-7b-8k-instruct-peft-compatible.