What are the hardware requirements for Ultracore Instruct 12BV2?

Ultracore Instruct 12BV2 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 Ultracore Instruct 12BV2 and how large is it?

Ultracore Instruct 12BV2 is developed by pot99rta, 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 Ultracore Instruct 12BV2?

Ultracore Instruct 12BV2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ultracore Instruct 12BV2 by pot99rta — VRAM 24.5GB, 1000K context

Name: Ultracore Instruct 12BV2
Author: pot99rta

Ultracore Instruct 12BV2 is an open-source language model by pot99rta. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Instruction-Based, Merged, LLM Explorer Score: 0.19.

Merged Model Arxiv:2403.19522 Base model:dampfinchen/ultra-i... Base model:dreadpoor/irix-12b-... Base model:redrix/patricide-12... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pot99rta/Ultracore-Instruct-12BV2

Ultracore Instruct 12BV2 Parameters and Internals

LLM Name	Ultracore Instruct 12BV2
Repository 🤗	https://huggingface.co/pot99rta/Ultracore-Instruct-12BV2
Base Model(s)	Lilithcore V2 Test Patricide 12B Unslop Mell V2 Ultra Instruct 12B Irix 12B Model Stock DoppelReflEx/Lilithcore-v2-test redrix/patricide-12B-Unslop-Mell-v2 Dampfinchen/Ultra-Instruct-12B DreadPoor/Irix-12B-Model_Stock
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-31
Maintainer	pot99rta
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
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.53.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the Ultracore Instruct 12BV2 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 Ultracore Instruct 12BV2

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
ChatWaifu V1.4	1000K / 24.5 GB	335	20
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9
Impish Nemo 12B	1000K / 24.5 GB	355	84

Note: green Score (e.g. "73.2") means that the model is better than pot99rta/Ultracore-Instruct-12BV2.