What are the hardware requirements for Violet Twilight V0.2?

Violet Twilight V0.2 requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Violet Twilight V0.2 and how large is it?

Violet Twilight V0.2 is developed by Epiculous, 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 Violet Twilight V0.2?

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

Violet Twilight V0.2 by Epiculous — VRAM 24.5GB, 1000K context

Name: Violet Twilight V0.2
Author: Epiculous

Violet Twilight V0.2 is an open-source language model by Epiculous. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.2.

Merged Model Conversational Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo op... Dataset:anthracite-org/nopm cl... Dataset:anthracite-org/stheno-... Dataset:epiculous/synthrp-gens... Dataset:epiculous/synthstruct-... Dataset:gryphe/sonnet3.5-charc... Dataset:pjmixers/hieunguyenmin... De En Es Fr Instruct It Ja Mistral Model-index Pt Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/Epiculous/Violet_Twilight-v0.2

Violet Twilight V0.2 Parameters and Internals

Model Type

text generation

Supported Languages

en (fluent), fr (fluent), de (fluent), es (fluent), it (fluent), pt (fluent), ru (fluent), zh (fluent), ja (fluent)

Input Output

Input Format:

ChatML structure

Accepted Modalities:

text

Output Format:

text

Release Notes

Version:

Violet_Twilight-v0.2

Notes:

Merged model of Azure_Dusk-v0.2 and Crimson_Dawn-v0.2 using SLERP with specific configurations.

LLM Name	Violet Twilight V0.2
Repository 🤗	https://huggingface.co/Epiculous/Violet_Twilight-v0.2
Merged Model	Yes
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-06-26
Maintainer	Epiculous
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Supported Languages	en fr de es it pt ru zh ja
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Violet Twilight 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 Violet Twilight V0.2

Best Alternatives	Context / RAM	Downloads	Likes
...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
Kalypso	1000K / 24.5 GB	45	24
Crimson Dawn V0.2	1000K / 24.5 GB	17	13
Azure Dusk V0.2	1000K / 24.5 GB	43	10
...al Nemo Japanese Instruct 2408	1000K / 24.5 GB	2358	49
Mistral Nemo Instruct 2407 FP8	1000K / 13.6 GB	4691	19
Educa Ai Nemo Sft	1000K / 49.3 GB	14	4
...l Nemo Abliterated Nemo Pro V2	1000K / 24.5 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than Epiculous/Violet_Twilight-v0.2.