What are the hardware requirements for SOR ColdBrew 12B Base Testing?

SOR ColdBrew 12B Base Testing 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 SOR ColdBrew 12B Base Testing and how large is it?

SOR ColdBrew 12B Base Testing is developed by SvalTek, 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 SOR ColdBrew 12B Base Testing?

SOR ColdBrew 12B Base Testing is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SOR ColdBrew 12B Base Testing by SvalTek — VRAM 24.5GB, 128K context

Name: SOR ColdBrew 12B Base Testing
Author: SvalTek

SOR ColdBrew 12B Base Testing is an open-source language model by SvalTek. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.23.

Conversational En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/SvalTek/SOR-ColdBrew-12B-Base-Testing

SOR ColdBrew 12B Base Testing Parameters and Internals

LLM Name	SOR ColdBrew 12B Base Testing
Repository 🤗	https://huggingface.co/SvalTek/SOR-ColdBrew-12B-Base-Testing
Model Name	SvalTek/SOR-ColdBrew-12B-Base-Testing
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-07
Maintainer	SvalTek
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
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the SOR ColdBrew 12B Base Testing 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

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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
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Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

Note: green Score (e.g. "73.2") means that the model is better than SvalTek/SOR-ColdBrew-12B-Base-Testing.