What are the hardware requirements for Silly V0.2?

Silly V0.2 requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Silly V0.2 and how large is it?

Silly V0.2 is developed by wave-on-discord, a model with 12.2b 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 Silly V0.2?

Silly V0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Silly V0.2 by wave-on-discord — VRAM 24.5GB, 128K context

Name: Silly V0.2
Author: wave-on-discord

Silly V0.2 is an open-source language model by wave-on-discord. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Conversational Deploy:azure Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/wave-on-discord/silly-v0.2

Silly V0.2 Parameters and Internals

LLM Name	Silly V0.2
Repository 🤗	https://huggingface.co/wave-on-discord/silly-v0.2
Base Model(s)	Mistral Nemo Base 2407 mistralai/Mistral-Nemo-Base-2407
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-08-01
Maintainer	wave-on-discord
Model Type	mistral
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 5.0 GB: 4-of-5 4.7 GB: 5-of-5
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Silly V0.2 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 Silly V0.2

Best Alternatives	Context / RAM	Downloads	Likes
...aptain Eris Violet GRPO V0.420	1000K / 24.5 GB	23	24
...istral Nemo Instruct 2407 MPOA	1000K / 24.5 GB	37	3
...ish Mistral Nemo Instruct 2407	1000K / 24.5 GB	77	2
Mistral Nemo Kurdish	1000K / 24.5 GB	37	3
Violet Twilight V0.2	1000K / 24.5 GB	66	49
Tess Embed Fix Maybe	1000K / 24.5 GB	13	0
Funny Nemo Embedding Testing	1000K / 24.5 GB	5	1
12BTRU	1000K / 24.5 GB	21	0
Another Strange Nemo Model	1000K / 24.5 GB	6	0
A Strange Nemo Model	1000K / 24.5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than wave-on-discord/silly-v0.2.