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

Meta Llama 3 8B Instruct Fine Tuned requires approximately 18.8 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 Meta Llama 3 8B Instruct Fine Tuned and how large is it?

Meta Llama 3 8B Instruct Fine Tuned is developed by Louis-Dupont, 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 Meta Llama 3 8B Instruct Fine Tuned?

Meta Llama 3 8B Instruct Fine Tuned is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 8B Instruct Fine Tuned by Louis-Dupont — VRAM 18.8GB, 8K context

Name: Meta Llama 3 8B Instruct Fine Tuned
Author: Louis-Dupont

Meta Llama 3 8B Instruct Fine Tuned is an open-source language model by Louis-Dupont. Features: 8b LLM, VRAM: 18.8GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Conversational Endpoints compatible F16 Ggml Gguf Instruct Llama Pytorch Q4 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Louis-Dupont/Meta-Llama-3-8B-Instruct-fine-tuned

Meta Llama 3 8B Instruct Fine Tuned Parameters and Internals

LLM Name	Meta Llama 3 8B Instruct Fine Tuned
Repository 🤗	https://huggingface.co/Louis-Dupont/Meta-Llama-3-8B-Instruct-fine-tuned
Model Size	8b
Required VRAM	18.8 GB
Updated	2026-08-08
Maintainer	Louis-Dupont
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB 16.1 GB 4.9 GB: 1-of-7 4.8 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7 5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.8 GB: 4-of-4
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|q4\|gguf\|q4_k
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the Meta Llama 3 8B Instruct Fine Tuned 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 Meta Llama 3 8B Instruct Fine Tuned

Best Alternatives	Context / RAM	Downloads	Likes
...del Llama 3.1 8B Instruct 4bit	128K / 16.1 GB	25	0
...AI Korean Llama 3.1 Sft DPO 8B	128K / 16.1 GB	288	7
...orean Llama3.1 Sft Rlhf DPO 8B	128K / 16.1 GB	94	3
...Ko Llama3 Instruct DPO 8B Base	8K / 16.1 GB	457	0
Llama 3 8B Instruct Chinese	8K / 16.1 GB	459	34
...3 Empower Functions Small Gguf	8K / 4.9 GB	186	0
Rag Tge Pl Llama 3 8B	8K / 16.1 GB	13	0
Llama 8B Gguf	8K / 4.9 GB	28	0
...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3

Note: green Score (e.g. "73.2") means that the model is better than Louis-Dupont/Meta-Llama-3-8B-Instruct-fine-tuned.