What are the hardware requirements for Mpt 7B Storywriter 4bit 128g?

Mpt 7B Storywriter 4bit 128g requires approximately 3.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mpt 7B Storywriter 4bit 128g and how large is it?

Mpt 7B Storywriter 4bit 128g is developed by OccamRazor, 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 Storywriter 4bit 128g?

Mpt 7B Storywriter 4bit 128g is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mpt 7B Storywriter 4bit 128g by OccamRazor — VRAM 3.9GB

Name: Mpt 7B Storywriter 4bit 128g
Author: OccamRazor

Mpt 7B Storywriter 4bit 128g is an open-source language model by OccamRazor. Features: 7b LLM, VRAM: 3.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.07.

Arxiv:2108.12409 Arxiv:2205.14135 4bit Composer Custom code Dataset:the pile books3 Llm-foundry Mosaicml Mpt Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OccamRazor/mpt-7b-storywriter-4bit-128g

Mpt 7B Storywriter 4bit 128g Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Fiction writing, Story generation, Creative writing

Applications:

Personal assistant, Creative content generation

Primary Use Cases:

Long context story writing, Text generation

Limitations:

Can produce factually incorrect output, Can generate biased or offensive outputs

Considerations:

Should not be relied on to produce factually accurate information

Additional Notes

Utilizes FlashAttention and ALiBi techniques for extended context handling.

Training Details

Data Sources:

books3 dataset (filtered fiction subset)

Methodology:

Built by finetuning MPT-7B with a context length of 65k tokens using the ALiBi technique

Context Length:

65536

Hardware Used:

8 A100-80GB GPUs

Model Architecture:

Modified decoder-only transformer

Input Output

Accepted Modalities:

text

Release Notes

Version:

MPT-7B-StoryWriter-65k+

Date:

2023-05-05

Notes:

Released with a context length of 65k tokens, capable of generating 84k tokens when extrapolating with ALiBi.

LLM Name	Mpt 7B Storywriter 4bit 128g
Repository 🤗	https://huggingface.co/OccamRazor/mpt-7b-storywriter-4bit-128g
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-07-28
Maintainer	OccamRazor
Model Type	mpt
Model Files	3.9 GB
Quantization Type	4bit
Model Architecture	MPTForCausalLM
License	apache-2.0
Model Max Length	65536
Transformers Version	4.28.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	bfloat16

Rank the Mpt 7B Storywriter 4bit 128g capabilities

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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 Storywriter 4bit 128g

Best Alternatives	Context / RAM	Downloads	Likes
Mpt 7B Chat Q8	0K / 6.9 GB	17	1
Mpt 7B Storywriter Q8	0K / 6.9 GB	14	2
Mpt 7B Instruct Q8	0K / 6.9 GB	18	2
Mpt 7B Q8	0K / 6.9 GB	14	1
...writer 4bit 128g 65kTokens CPU	0K / 3.9 GB	15	9
Mpt 7B Storywriter 4bit 128g	0K / 3.9 GB	23	20
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

Note: green Score (e.g. "73.2") means that the model is better than OccamRazor/mpt-7b-storywriter-4bit-128g.