What are the hardware requirements for Literature 7B 16384?

Literature 7B 16384 requires approximately 36 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Literature 7B 16384 and how large is it?

Literature 7B 16384 is developed by hakurei, 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 Literature 7B 16384?

Literature 7B 16384 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Literature 7B 16384 by hakurei — VRAM 36GB, 16K context

Name: Literature 7B 16384
Author: hakurei

Literature 7B 16384 is an open-source language model by hakurei. Features: 7b LLM, VRAM: 36GB, Context: 16K, License: mit, LLM Explorer Score: 0.07.

En Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/hakurei/Literature-7B-16384

Literature 7B 16384 Parameters and Internals

Model Type

auto-regressive language model

Use Cases

Areas:

entertainment, creative writing

Primary Use Cases:

storytelling, fiction writing assistant

Supported Languages

en (fluent)

Training Details

Data Sources:

Gutenberg Project

Data Volume:

2GB of a diverse range of light novels, erotica, and annotated literature

Methodology:

Annotated fiction dataset with prepended tags

Context Length:

16384

LLM Name	Literature 7B 16384
Repository 🤗	https://huggingface.co/hakurei/Literature-7B-16384
Model Size	7b
Required VRAM	36 GB
Updated	2026-07-07
Maintainer	hakurei
Model Type	gpt_neox
Model Files	12.4 GB: 1-of-3 12.6 GB: 2-of-3 11.0 GB: 3-of-3 0.0 GB
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.28.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float32

Rank the Literature 7B 16384 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 Literature 7B 16384

Best Alternatives	Context / RAM	Downloads	Likes
RedPajama 7B 16384	16K / 36 GB	8	4
Stablelm Tuned Alpha 7B	4K / 31.9 GB	713	361
Stablelm Base Alpha 7B	4K / 31.9 GB	884	208
Stablelm 7B Sft V7 Epoch 3	4K / 32.4 GB	64	67
StableLManticore 7B	4K / 16 GB	10	1
Pythia 6.9B Deduped 4K	4K / 27.2 GB	8	10
Stablelm 7B	4K / 31.9 GB	7	2
Dolly V2 7B	2K / 13.8 GB	1596	150
Open Calm 7B	2K / 13.9 GB	523	205
Sarashina1 7B	2K / 13.9 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than hakurei/Literature-7B-16384.