What are the hardware requirements for Silicon Maid 7B?

Silicon Maid 7B requires approximately 14.5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Silicon Maid 7B is developed by SanjiWatsuki, 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 Maid 7B perform on standard benchmarks?

Silicon Maid 7B has the following published scores: MMLU 64.58. Compare against reference models on this page or on the LLM Explorer leaderboards.

Silicon Maid 7B by SanjiWatsuki — VRAM 14.5GB, 8K context

Name: Silicon Maid 7B
Author: SanjiWatsuki

Silicon Maid 7B is an open-source language model by SanjiWatsuki. Features: 7b LLM, VRAM: 14.5GB, Context: 8K, License: cc-by-4.0, LLM Explorer Score: 0.19, Arc: 68.2, HellaSwag: 86.5, MMLU: 64.6, GSM8K: 61.9.

Autotrain compatible En Endpoints compatible Merge Mistral Not-for-all-audiences Nsfw Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B

Silicon Maid 7B Benchmarks

ARC: 68.17 vs 96.7 (so35)^-29.5%

HellaSwag: 86.52 vs 95.3 (gpt4)^-9.2%

MMLU: 64.58 vs 88.3 (so35)^-26.9%

GSM8K: 61.94 vs 96.4 (so35)^-35.7%

LLME Score: 0.18871

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Silicon Maid 7B (SanjiWatsuki/Silicon-Maid-7B)

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Silicon Maid 7B Parameters and Internals

LLM Name	Silicon Maid 7B
Repository 🤗	https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B
Model Size	7b
Required VRAM	14.5 GB
Updated	2025-09-23
Maintainer	SanjiWatsuki
Model Type	mistral
Model Files	10.0 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	cc-by-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Quantized Models of the Silicon Maid 7B

Model	Likes	Downloads	VRAM
Silicon Natsuki 7B V0.5 Gguf	0	18	7 GB
Silicon Monika 7B Gguf	4	72	4 GB

Best Alternatives to Silicon Maid 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	254	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8623	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	24	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	8131	17
Hebrew Mistral 7B 200K	256K / 30 GB	1378	15
Astral 256K 7B V2	250K / 14.4 GB	5	0
Astral 256K 7B	250K / 14.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than SanjiWatsuki/Silicon-Maid-7B.

Rank the Silicon Maid 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Silicon Maid 7B by SanjiWatsuki