What are the hardware requirements for Silicon Monika 7B?

Silicon Monika 7B requires approximately 14.4 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 Monika 7B and how large is it?

Silicon Monika 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 Monika 7B perform on standard benchmarks?

Silicon Monika 7B has the following published scores: MMLU 62.67. Compare against reference models on this page or on the LLM Explorer leaderboards.

Silicon Monika 7B by 922CA — VRAM 14.4GB, 8K context

Name: Silicon Monika 7B
Author: 922CA

Silicon Monika 7B is an open-source language model by 922CA. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 63.1, HellaSwag: 82.6, MMLU: 62.7, GSM8K: 60.5.

Base model:finetune:sanjiwatsu... Base model:sanjiwatsuki/silico... Dataset:922-ca/mocha v1 En Endpoints compatible Mistral Model-index Pytorch Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

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

Silicon Monika 7B Parameters and Internals

Model Type

text-generation

Additional Notes

The model was fine-tuned for Monika character from DDLC per a request. It was trained faster using the Unsloth platform and Huggingface's TRL library.

Training Details

Methodology:

Trained for 1 epoch

LLM Name	Silicon Monika 7B
Repository 🤗	https://huggingface.co/922CA/Silicon-Monika-7b
Base Model(s)	Silicon Maid 7B SanjiWatsuki/Silicon-Maid-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-30
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	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Silicon Monika 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 Monika 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 922CA/Silicon-Monika-7b.