What are the hardware requirements for Meta Llama 3.1 8B Instruct SFT?

Meta Llama 3.1 8B Instruct SFT requires approximately 16.1 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 Meta Llama 3.1 8B Instruct SFT and how large is it?

Meta Llama 3.1 8B Instruct SFT is developed by ricostaedeli, 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 3.1 8B Instruct SFT?

Meta Llama 3.1 8B Instruct SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3.1 8B Instruct SFT by ricostaedeli — VRAM 16.1GB, 128K context

Name: Meta Llama 3.1 8B Instruct SFT
Author: ricostaedeli

Meta Llama 3.1 8B Instruct SFT is an open-source language model by ricostaedeli. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: meta, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

4bit Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ricostaedeli/Meta-Llama-3.1-8B-Instruct_SFT

Meta Llama 3.1 8B Instruct SFT Parameters and Internals

LLM Name	Meta Llama 3.1 8B Instruct SFT
Repository 🤗	https://huggingface.co/ricostaedeli/Meta-Llama-3.1-8B-Instruct_SFT
Base Model(s)	unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit unsloth/llama-3.1-8b-instruct-unsloth-bnb-4bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-31
Maintainer	ricostaedeli
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
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3.1 8B Instruct SFT 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 3.1 8B Instruct SFT

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