What are the hardware requirements for Llama3.2 ColdBrew 4B Discovery F16?

Llama3.2 ColdBrew 4B Discovery F16 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 Discovery F16 and how large is it?

Llama3.2 ColdBrew 4B Discovery F16 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 Discovery F16?

Llama3.2 ColdBrew 4B Discovery F16 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 Discovery F16 by SvalTek — VRAM 7.2GB, 128K context

Name: Llama3.2 ColdBrew 4B Discovery F16
Author: SvalTek

Llama3.2 ColdBrew 4B Discovery F16 is an open-source language model by SvalTek. Features: 4b LLM, VRAM: 7.2GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

Base model:finetune:svaltek/ll... Base model:svaltek/llama3.2-co... Conversational En Endpoints compatible Fp16 Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/SvalTek/llama3.2-ColdBrew-4B-Discovery-f16

Llama3.2 ColdBrew 4B Discovery F16 Parameters and Internals

LLM Name	Llama3.2 ColdBrew 4B Discovery F16
Repository 🤗	https://huggingface.co/SvalTek/llama3.2-ColdBrew-4B-Discovery-f16
Base Model(s)	SvalTek/llama3.2-ColdBrew-4B-test SvalTek/llama3.2-ColdBrew-4B-test
Model Size	4b
Required VRAM	7.2 GB
Updated	2026-08-07
Maintainer	SvalTek
Model Type	llama
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Quantization Type	fp16
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 Discovery F16 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 Llama3.2 ColdBrew 4B Discovery F16

Best Alternatives	Context / RAM	Downloads	Likes
...Nemotron Nano 4B V1.1 Bnb 4bit	128K / 3.5 GB	218	0
... Nano 4B V1.1 Unsloth Bnb 4bit	128K / 3.5 GB	66	1
Mellum 4B Base 4bit	8K / 2.3 GB	300	3
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

Note: green Score (e.g. "73.2") means that the model is better than SvalTek/llama3.2-ColdBrew-4B-Discovery-f16.