What are the hardware requirements for HerculeanSea 7B 128K?

HerculeanSea 7B 128K requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed HerculeanSea 7B 128K and how large is it?

HerculeanSea 7B 128K is developed by Nitral-Archive, 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 HerculeanSea 7B 128K?

HerculeanSea 7B 128K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HerculeanSea 7B 128K by Nitral-Archive — VRAM 14.5GB, 32K context

Name: HerculeanSea 7B 128K
Author: Nitral-Archive

HerculeanSea 7B 128K is an open-source language model by Nitral-Archive. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: other, Merged, LLM Explorer Score: 0.11.

Merged Model Base model:finetune:locutusque... Base model:locutusque/hercules... Custom code Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nitral-Archive/HerculeanSea-7b-128k

HerculeanSea 7B 128K Parameters and Internals

Model Type

text-generation

LLM Name	HerculeanSea 7B 128K
Repository 🤗	https://huggingface.co/Nitral-Archive/HerculeanSea-7b-128k
Base Model(s)	Test157t/Pasta-Sea-7b-128k Locutusque/Hercules-2.0-Mistral-7B Test157t/Pasta-Sea-7b-128k Locutusque/Hercules-2.0-Mistral-7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-01
Maintainer	Nitral-Archive
Model Type	mistral
Model Files	1.9 GB: 1-of-8 2.0 GB: 2-of-8 2.0 GB: 3-of-8 2.0 GB: 4-of-8 2.0 GB: 5-of-8 1.9 GB: 6-of-8 2.0 GB: 7-of-8 0.7 GB: 8-of-8
Model Architecture	MistralForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the HerculeanSea 7B 128K 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 HerculeanSea 7B 128K

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Nitral-Archive/HerculeanSea-7b-128k.