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

Llama3.2 ColdBrew 4B Test 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 Test and how large is it?

Llama3.2 ColdBrew 4B Test 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 Test?

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

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

Llama3.2 ColdBrew 4B Test is an open-source language model by SvalTek. Features: 4b LLM, VRAM: 7.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

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

Model Card on HF 🤗: https://huggingface.co/SvalTek/llama3.2-ColdBrew-4B-test

Llama3.2 ColdBrew 4B Test Parameters and Internals

LLM Name	Llama3.2 ColdBrew 4B Test
Repository 🤗	https://huggingface.co/SvalTek/llama3.2-ColdBrew-4B-test
Model Size	4b
Required VRAM	7.2 GB
Updated	2026-05-20
Maintainer	SvalTek
Model Type	llama
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3.2 ColdBrew 4B Test 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

Quantized Models of the Llama3.2 ColdBrew 4B Test

Model	Likes	Downloads	VRAM
...a3.2 ColdBrew 4B Discovery F16	0	9	7 GB

Best Alternatives to Llama3.2 ColdBrew 4B Test

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	21	14

Note: green Score (e.g. "73.2") means that the model is better than SvalTek/llama3.2-ColdBrew-4B-test.