What are the hardware requirements for Trouper V2 12B?

Trouper V2 12B 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 Trouper V2 12B and how large is it?

Trouper V2 12B is developed by DarwinAnim8or, a model with 12b 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 Trouper V2 12B?

Trouper V2 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trouper V2 12B by DarwinAnim8or — VRAM 24.5GB, 128K context

Name: Trouper V2 12B
Author: DarwinAnim8or

Trouper V2 12B is an open-source language model by DarwinAnim8or. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.31.

Arxiv:2505.00047 Base model:darwinanim8or/troup... Base model:finetune:darwinanim... Character roleplay Conversational Creative writing Dataset:darwinanim8or/restrain... Dataset:darwinanim8or/trouper-... En Mistral Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DarwinAnim8or/Trouper-v2-12b

Trouper V2 12B Parameters and Internals

LLM Name	Trouper V2 12B
Repository 🤗	https://huggingface.co/DarwinAnim8or/Trouper-v2-12b
Base Model(s)	Mistral Nemo Base 2407 Trouper 12B mistralai/Mistral-Nemo-Base-2407 DarwinAnim8or/Trouper-12B
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-15
Maintainer	DarwinAnim8or
Model Type	mistral
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
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	131072
Torch Data Type	float16

Rank the Trouper V2 12B 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 Trouper V2 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3