What are the hardware requirements for Talosian 7B?

Talosian 7B requires approximately 28.9 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 Talosian 7B and how large is it?

Talosian 7B is developed by jspr, 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 Talosian 7B?

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

Talosian 7B by jspr — VRAM 28.9GB, 32K context

Name: Talosian 7B
Author: jspr

Talosian 7B is an open-source language model by jspr. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, Merged, LLM Explorer Score: 0.12.

Merged Model En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jspr/talosian-7b

Talosian 7B Parameters and Internals

Model Type

storytelling

Additional Notes

Talosian is a storytelling model specifically designed for writing new stories section-by-section. It is not a user-assistant chat-formatted model and should be used in text-generation-webui's Notebook mode.

Supported Languages

en (primary)

Training Details

Data Sources:

long-context dataset of smut stories

Context Length:

32000

Input Output

Input Format:

[SEC] and [/SEC] tokens to delineate section headers

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Sections that are equivalent to a few paragraphs in length work best; make the prompt verbose and detailed

LLM Name	Talosian 7B
Repository 🤗	https://huggingface.co/jspr/talosian-7b
Merged Model	Yes
Model Size	7b
Required VRAM	28.9 GB
Updated	2026-08-07
Maintainer	jspr
Model Type	mistral
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 4.8 GB: 5-of-6 4.2 GB: 6-of-6
Supported Languages	en
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Talosian 7B 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 Talosian 7B

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 jspr/talosian-7b.