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

Llama 3.1 8B Open 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 Llama 3.1 8B Open SFT and how large is it?

Llama 3.1 8B Open SFT is developed by prithivMLmods, 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 Open SFT?

Llama 3.1 8B Open SFT 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 Open SFT by prithivMLmods — VRAM 16.1GB, 128K context

Name: Llama 3.1 8B Open SFT
Author: prithivMLmods

Llama 3.1 8B Open SFT is an open-source language model by prithivMLmods. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: creativeml-openrail-m, Instruction-Based, LLM Explorer Score: 0.22.

8b Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Chain-of-thought activation Conversational Cot Dataset:o1-open/openo1-sft En Endpoints compatible Instruct Llama Llama3.1 Math Ollama Question answering Region:us Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Llama-3.1-8B-Open-SFT

Llama 3.1 8B Open SFT Parameters and Internals

LLM Name	Llama 3.1 8B Open SFT
Repository 🤗	https://huggingface.co/prithivMLmods/Llama-3.1-8B-Open-SFT
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-25
Maintainer	prithivMLmods
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	creativeml-openrail-m
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.1 8B Open SFT 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 3.1 8B Open SFT

Model	Likes	Downloads	VRAM
Llama 3.1 8B Open SFT GGUF	1	20	4 GB

Best Alternatives to Llama 3.1 8B Open SFT

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

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Llama-3.1-8B-Open-SFT.