What are the hardware requirements for Q2.5 ColdBrew 14B Base?

Q2.5 ColdBrew 14B Base requires approximately 29.7 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 Q2.5 ColdBrew 14B Base and how large is it?

Q2.5 ColdBrew 14B Base is developed by SvalTek, a model with 14b 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 Q2.5 ColdBrew 14B Base?

Q2.5 ColdBrew 14B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Q2.5 ColdBrew 14B Base by SvalTek — VRAM 29.7GB, 128K context

Name: Q2.5 ColdBrew 14B Base
Author: SvalTek

Q2.5 ColdBrew 14B Base is an open-source language model by SvalTek. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.2.

Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/SvalTek/Q2.5-ColdBrew-14B-Base

Q2.5 ColdBrew 14B Base Parameters and Internals

LLM Name	Q2.5 ColdBrew 14B Base
Repository 🤗	https://huggingface.co/SvalTek/Q2.5-ColdBrew-14B-Base
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-05-24
Maintainer	SvalTek
Model Type	qwen2
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Q2.5 ColdBrew 14B Base capabilities

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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 Q2.5 ColdBrew 14B Base

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Etr1o V1.2	986K / 29.7 GB	11	0
Impish QWEN 14B 1M	986K / 29.7 GB	56	26

Note: green Score (e.g. "73.2") means that the model is better than SvalTek/Q2.5-ColdBrew-14B-Base.