What are the hardware requirements for Llama 3 Old English Tutorial FineTune?

Llama 3 Old English Tutorial FineTune requires approximately 4.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Old English Tutorial FineTune and how large is it?

Llama 3 Old English Tutorial FineTune is developed by Dominic2106, 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 Old English Tutorial FineTune?

Llama 3 Old English Tutorial FineTune is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Old English Tutorial FineTune by Dominic2106 — VRAM 4.9GB

Name: Llama 3 Old English Tutorial FineTune
Author: Dominic2106

Llama 3 Old English Tutorial FineTune is an open-source language model by Dominic2106. Features: 8b LLM, VRAM: 4.9GB, License: apache-2.0, Quantized, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.16.

4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-... Conversational En Endpoints compatible Finetuned Gguf Instruct Llama Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/Dominic2106/llama-3-Old-English-Tutorial-FineTune

Llama 3 Old English Tutorial FineTune Parameters and Internals

LLM Name	Llama 3 Old English Tutorial FineTune
Repository 🤗	https://huggingface.co/Dominic2106/llama-3-Old-English-Tutorial-FineTune
Base Model(s)	Llama 3 8B Instruct Bnb 4bit unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size	8b
Required VRAM	4.9 GB
Updated	2026-08-25
Maintainer	Dominic2106
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Llama 3 Old English Tutorial FineTune 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 Old English Tutorial FineTune

Model	Likes	Downloads	VRAM
Gamgee	0	12	4 GB
Gamgee	0	6	4 GB

Best Alternatives to Llama 3 Old English Tutorial FineTune

Best Alternatives	Context / RAM	Downloads	Likes
...lama 3.1 8B Roleplay BSNL Gguf	0K / 4.9 GB	973	11
...ma 3.1 8B Roleplay Airtel Gguf	0K / 4.9 GB	658	8
Llama 3.1 8B Roleplay Jio Gguf	0K / 4.9 GB	123	5
Llama 3.1 8B Rp Tadashinu Gguf	0K / 4.9 GB	57	7
Llama 3.1 8B OneLastStory Gguf	0K / 4.9 GB	43	5
...B Instruct Bnb 4bit 24 1 100 1	0K / 16.1 GB	59	0
Meta Llama 3 8B Instruct GGUF	0K / 2 GB	96368	103
...leverBoi Llama 3.1 8B Instruct	0K / 0.2 GB	866	1
...ma 3 8B Instruct 32K V0.1 GGUF	0K / 2 GB	81087	59
Llama 3 8B Instruct 64K GGUF	0K / 3.2 GB	56740	14

Note: green Score (e.g. "73.2") means that the model is better than Dominic2106/llama-3-Old-English-Tutorial-FineTune.