What are the hardware requirements for Silicon Natsuki 7B?

Silicon Natsuki 7B requires approximately 14.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Silicon Natsuki 7B and how large is it?

Silicon Natsuki 7B is developed by 922CA, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Silicon Natsuki 7B perform on standard benchmarks?

Silicon Natsuki 7B has the following published scores: MMLU 62.88. Compare against reference models on this page or on the LLM Explorer leaderboards.

Silicon Natsuki 7B by 922CA — VRAM 14.4GB

Name: Silicon Natsuki 7B
Author: 922CA

Silicon Natsuki 7B is an open-source language model by 922CA. Features: 7b LLM, VRAM: 14.4GB, License: llama3, LLM Explorer Score: 0.13, Arc: 65.2, HellaSwag: 84, MMLU: 62.9, GSM8K: 57.6.

Base model:finetune:sanjiwatsu... Base model:sanjiwatsuki/silico... En Endpoints compatible Mistral Model-index Pytorch Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/922CA/Silicon-Natsuki-7b

Silicon Natsuki 7B Parameters and Internals

Model Type

text-generation

Additional Notes

The model is trained to reflect the characteristics of the 'Natsuki' character from DDLC, but there's a possibility of hallucinations or character misalignment.

LLM Name	Silicon Natsuki 7B
Repository 🤗	https://huggingface.co/922CA/Silicon-Natsuki-7b
Base Model(s)	Silicon Maid 7B SanjiWatsuki/Silicon-Maid-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-10-09
Maintainer	922CA
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	AutoModel
License	llama3
Model Max Length	8192
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>

Rank the Silicon Natsuki 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 Silicon Natsuki 7B

Best Alternatives	Context / RAM	Downloads	Likes
TroL 7B	32K / 17.3 GB	17	7
MoAI 7B	32K / 17.7 GB	139	44
CoLLaVO 7B	32K / 18.6 GB	120	20
... 7b 448 Qinstruct Preview V0.1	2K / 17.3 GB	10	4
Janus Pro 7B	0K / 14.8 GB	11850	3640
Brain Rot Sft 7b Lora	0K / 0.2 GB	70	1
Amna AI	0K / 0.2 GB	56	1
Alexis Lora	0K / 0.2 GB	17	0
Alexisveri	0K / 0.2 GB	15	0
...5 Olmo Consciousness Poison S2	0K / 0.1 GB	16	1

Note: green Score (e.g. "73.2") means that the model is better than 922CA/Silicon-Natsuki-7b.