What are the hardware requirements for Kitsune Tales E4B EN?

Kitsune Tales E4B EN requires approximately 15.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kitsune Tales E4B EN and how large is it?

Kitsune Tales E4B EN is developed by whoashish115, a model with 7.9b 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 Kitsune Tales E4B EN?

Kitsune Tales E4B EN is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kitsune Tales E4B EN by whoashish115 — VRAM 15.9GB

Name: Kitsune Tales E4B EN
Author: whoashish115

Kitsune Tales E4B EN is an open-source language model by whoashish115. Features: 7.9b LLM, VRAM: 15.9GB, License: apache-2.0, LLM Explorer Score: 0.31.

Anime Base model:adapter:google/gemm... Base model:google/gemma-4-e4b-... Conversational Creative-writing Dataset:whoashish115/kitsune-t... En Endpoints compatible Fantasy Gemma4 Image-text-to-text Light-novel Lora Model-index Region:us Safetensors Sharded Synthetic-data Tensorflow

Model Card on HF 🤗: https://huggingface.co/whoashish115/Kitsune-Tales-E4B-EN

Kitsune Tales E4B EN Parameters and Internals

LLM Name	Kitsune Tales E4B EN
Repository 🤗	https://huggingface.co/whoashish115/Kitsune-Tales-E4B-EN
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	7.9b
Required VRAM	15.9 GB
Updated	2026-10-04
Maintainer	whoashish115
Model Type	gemma4
Model Files	5.6 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.17.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Kitsune Tales E4B EN 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 Kitsune Tales E4B EN

Best Alternatives	Context / RAM	Downloads	Likes
Kitsune Tales E4B JP	0K / 15.9 GB	289	1
ContextPilot E4B	0K / 15.9 GB	404	5
Gemma4 Merged K8s	0K / 15.9 GB	301	0
Firehouse Cactus 1.0	0K / 15.9 GB	736	0
Quatfit Mini	0K / 31.8 GB	1074	7
Gemma 4 E4B It Qat Bf16	0K / 15.9 GB	77	1
... 4 E4B It Qat Q4 0 Unquantized	0K / 15.9 GB	10950	27
... 4 E4B It Qat Q4 0 Unquantized	0K / 15.9 GB	1285	3
...a 4 E4B Abliterated Uncensored	0K / 15.9 GB	279	1
...t Q4 0 Unquantized Abliterated	0K / 15.9 GB	113	7

Note: green Score (e.g. "73.2") means that the model is better than whoashish115/Kitsune-Tales-E4B-EN.