What are the hardware requirements for Llama3 8B Alpaca?

Llama3 8B Alpaca 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 Llama3 8B Alpaca and how large is it?

Llama3 8B Alpaca is developed by lainshower, 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 Llama3 8B Alpaca?

Llama3 8B Alpaca is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 8B Alpaca by lainshower — VRAM 16.1GB, 8K context

Name: Llama3 8B Alpaca
Author: lainshower

Llama3 8B Alpaca is an open-source language model by lainshower. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lainshower/Llama3-8b-alpaca

Llama3 8B Alpaca Parameters and Internals

Model Type

text generation

Additional Notes

This is a fine-tuned model using BF16 mixed precision for stability, aimed at addressing an overfitting issue through one-epoch training.

Training Details

Data Sources:

stanford_alpaca

Methodology:

Instruct Tuning

Context Length:

512

Input Output

Input Format:

PROMPT_DICT

Accepted Modalities:

text

Output Format:

text

Performance Tips:

We recommend using Float32 when running inference on the models.

LLM Name	Llama3 8B Alpaca
Repository 🤗	https://huggingface.co/lainshower/Llama3-8b-alpaca
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-01
Maintainer	lainshower
Model Type	llama
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
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 8B Alpaca 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

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...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
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...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
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than lainshower/Llama3-8b-alpaca.