What are the hardware requirements for Llama3.2 ColdBrew 4B Thinker?

Llama3.2 ColdBrew 4B Thinker requires approximately 7.2 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 Llama3.2 ColdBrew 4B Thinker and how large is it?

Llama3.2 ColdBrew 4B Thinker is developed by SvalTek, a model with 4b 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 Llama3.2 ColdBrew 4B Thinker?

Llama3.2 ColdBrew 4B Thinker is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.2 ColdBrew 4B Thinker by SvalTek — VRAM 7.2GB, 128K context

Name: Llama3.2 ColdBrew 4B Thinker
Author: SvalTek

Llama3.2 ColdBrew 4B Thinker is an open-source language model by SvalTek. Features: 4b LLM, VRAM: 7.2GB, Context: 128K, Merged, LLM Explorer Score: 0.19.

Merged Model Base model:finetune:svaltek/ll... Base model:svaltek/llama3.2-co... Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SvalTek/Llama3.2-ColdBrew-4B-Thinker

Llama3.2 ColdBrew 4B Thinker Parameters and Internals

LLM Name	Llama3.2 ColdBrew 4B Thinker
Repository 🤗	https://huggingface.co/SvalTek/Llama3.2-ColdBrew-4B-Thinker
Base Model(s)	SvalTek/Llama3.2-ColdBrew-4B-Base SvalTek/Llama3.2-ColdBrew-4B-Base
Merged Model	Yes
Model Size	4b
Required VRAM	7.2 GB
Updated	2025-10-15
Maintainer	SvalTek
Model Type	llama
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.54.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128288
Torch Data Type	bfloat16

Rank the Llama3.2 ColdBrew 4B Thinker 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 Llama3.2 ColdBrew 4B Thinker

Best Alternatives	Context / RAM	Downloads	Likes
4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	54	4
Xgen Small 4B Base R	256K / 17.7 GB	30	3
SJT 4B	146K / 7.6 GB	7	0
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	3940	116
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	9	3
Loxa 4B	128K / 16 GB	8	0
Nemotron W 4b Halo 0.1	128K / 9.2 GB	22	3
Aura 4B	128K / 9 GB	22	14

Note: green Score (e.g. "73.2") means that the model is better than SvalTek/Llama3.2-ColdBrew-4B-Thinker.