What are the hardware requirements for Llama 3 8B Instruct?

Llama 3 8B Instruct requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 8B Instruct and how large is it?

Llama 3 8B Instruct 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.

How does Llama 3 8B Instruct perform on standard benchmarks?

Llama 3 8B Instruct has the following published scores: LMSYS ELO 1223. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 8B Instruct by unsloth — VRAM 16.1GB, 8K context

Name: Llama 3 8B Instruct
Author: unsloth

Llama 3 8B Instruct is an open-source language model by unsloth. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.3, ELO: 1223.

Conversational En Endpoints compatible Instruct Llama Llama-3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/llama-3-8b-Instruct

Llama 3 8B Instruct Benchmarks

LMSys ELO 1223 vs 1272 (so35) -3.9%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3 8B Instruct Parameters and Internals

Model Type

text generation

LLM Name	Llama 3 8B Instruct
Repository 🤗	https://huggingface.co/unsloth/llama-3-8b-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-02
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 8B Instruct 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 Llama 3 8B Instruct

Model	Likes	Downloads	VRAM
Nil Llama 3 8B Instruct V0.1.1	0	13	16 GB
Scm Ollama 7b Q8	0	103	8 GB
Scm Llama3 7b Q4 K M	0	28	4 GB
Scm Llama3 7b Q8 V3	0	18	8 GB
Scm Llama3 7b Q5 K M	0	18	5 GB
Scm Llama3 7b 16 V3	0	9	16 GB
...y Llama3 8B Instruct 8bit Q8 0	0	17	8 GB
...dify Llama3 8B Instruct Q4 K M	0	11	4 GB
...wardify Llama3 8B Instruct F16	0	11	16 GB
Text2cypher Demo 16bit	26	13	16 GB

Best Alternatives to Llama 3 8B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1