What are the hardware requirements for Llama 3.1 8B Unsloth Bnb 4bit?

Llama 3.1 8B Unsloth Bnb 4bit requires approximately 6 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 Llama 3.1 8B Unsloth Bnb 4bit and how large is it?

Llama 3.1 8B Unsloth Bnb 4bit is developed by unsloth, a model with 8b 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 Llama 3.1 8B Unsloth Bnb 4bit?

Llama 3.1 8B Unsloth Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Unsloth Bnb 4bit by unsloth — VRAM 6GB, 128K context

Name: Llama 3.1 8B Unsloth Bnb 4bit
Author: unsloth

Llama 3.1 8B Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 8b LLM, VRAM: 6GB, Context: 128K, License: llama3.1, Quantized, LLM Explorer Score: 0.2.

Arxiv:2204.05149 4-bit 4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Bitsandbytes En Endpoints compatible Facebook Llama Llama-3 Meta Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3.1-8B-unsloth-bnb-4bit

Llama 3.1 8B Unsloth Bnb 4bit Parameters and Internals

LLM Name	Llama 3.1 8B Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Llama-3.1-8B-unsloth-bnb-4bit
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	6 GB
Updated	2026-08-24
Maintainer	unsloth
Model Type	llama
Model Files	6.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0.dev0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 8B Unsloth Bnb 4bit 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

Quantized Models of the Llama 3.1 8B Unsloth Bnb 4bit

Model	Likes	Downloads	VRAM
Llama3.1 8B Base Math	0	21	16 GB
Llama3.1 8B Base Code	0	19	16 GB

Best Alternatives to Llama 3.1 8B Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1