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Llama 3 Old English Tutorial FineTune by Dominic2106

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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: 0.18.

  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 Benchmarks

LLME Score: 0.17527
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Old English Tutorial FineTune (Dominic2106/llama-3-Old-English-Tutorial-FineTune)
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Llama 3 Old English Tutorial FineTune Parameters and Internals

LLM NameLlama 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 Size8b
Required VRAM4.9 GB
Updated2026-04-20
MaintainerDominic2106
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

Quantized Models of the Llama 3 Old English Tutorial FineTune

Model
Likes
Downloads
VRAM
Gamgee064 GB
Gamgee064 GB

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

Rank the Llama 3 Old English Tutorial FineTune 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  

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