What are the hardware requirements for Silicon Monika 7B Gguf?

Silicon Monika 7B Gguf requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Silicon Monika 7B Gguf and how large is it?

Silicon Monika 7B Gguf 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.

Where can I download or evaluate Silicon Monika 7B Gguf?

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

Silicon Monika 7B Gguf by 922CA — VRAM 4.4GB

Name: Silicon Monika 7B Gguf
Author: 922CA

Silicon Monika 7B Gguf is an open-source language model by 922CA. Features: 7b LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:sanjiwats... Base model:sanjiwatsuki/silico... En Endpoints compatible Gguf Mistral Quantized Region:us Unsloth

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

Silicon Monika 7B Gguf Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, gguf

Additional Notes

GGUF of "922CA/Silicon-Monika-7b" primarily tested and run with Koboldcpp v1.55+.

Training Details

Methodology:

Trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Silicon Monika 7B Gguf
Repository 🤗	https://huggingface.co/922CA/Silicon-Monika-7b-gguf
Base Model(s)	Silicon Maid 7B SanjiWatsuki/Silicon-Maid-7B
Model Size	7b
Required VRAM	4.4 GB
Updated	2026-08-25
Maintainer	922CA
Model Type	mistral
Model Files	4.4 GB 5.1 GB 7.7 GB 14.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Silicon Monika 7B Gguf 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 Gguf

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
Qwen2 7B Alpacha Q8 0	0K / 9.1 GB	23	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Conversely Mistral 7B	0K / 0.2 GB	132	0
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
CleverBoi 7B V2	0K / 0.1 GB	586	0
WizardLM 2 7B GGUF	0K / 2.7 GB	93547	83
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511

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