Not So Bright AGI Llama3.1 8B UC200k V2 by yuriachermann

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Not So Bright AGI Llama3.1 8B UC200k V2 is an open-source language model by yuriachermann. Features: 8b LLM, VRAM: 0.2GB, License: llama3, Instruction-Based, LLM Explorer Score: 0.14.

  Adapter Base model:adapter:meta-llama/... Base model:meta-llama/llama-3.... Dataset:huggingfaceh4/ultracha...   En   Finetuned   Gaudi   Generated from trainer   Instruct   Ipex   Lora   Model-index   Peft   Region:us   Safetensors   Sft   Trl   Ultrachat 200k

Not So Bright AGI Llama3.1 8B UC200k V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Not So Bright AGI Llama3.1 8B UC200k V2 Parameters and Internals

LLM NameNot So Bright AGI Llama3.1 8B UC200k V2
Repository 🤗https://huggingface.co/yuriachermann/Not-so-bright-AGI-Llama3.1-8B-UC200k-v2 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM0.2 GB
Updated2026-05-25
Maintaineryuriachermann
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Model ArchitectureAdapter
Licensellama3
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than yuriachermann/Not-so-bright-AGI-Llama3.1-8B-UC200k-v2.

Rank the Not So Bright AGI Llama3.1 8B UC200k V2 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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Release v20260328a