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Open Llama 3B Everything V2 by harborwater

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Open Llama 3B Everything V2 is an open-source language model by harborwater. Features: 3b LLM, VRAM: 6.8GB, Context: 2K, License: apache-2.0, HF Score: 41.4, LLM Explorer Score: 0.15, Arc: 42.8, HellaSwag: 73.3, MMLU: 26.9, TruthfulQA: 37.3, WinoGrande: 66.6, GSM8K: 1.6.

Dataset:totally-not-an-llm/eve...   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/harborwater/open-llama-3b-everything-v2 

Open Llama 3B Everything V2 Benchmarks

ARC: 42.83 vs 96.7 (so35)-55.7%
HellaSwag: 73.28 vs 95.3 (gpt4)-23.1%
MMLU: 26.87 vs 88.3 (so35)-69.6%
TruthfulQA: 37.26 vs 59 (gpt4)-36.8%
WinoGrande: 66.61 vs 87.5 (gpt4)-23.9%
GSM8K: 1.59 vs 96.4 (so35)-98.4%
LLME Score: 0.14509
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Open Llama 3B Everything V2 (harborwater/open-llama-3b-everything-v2)
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Open Llama 3B Everything V2 Parameters and Internals

Additional Notes 
Feel free to give it a try!
Supported Languages 
en (unknown)
Training Details 
Data Sources:
totally-not-an-llm/EverythingLM-data-V2-sharegpt
Methodology:
Changed a few of the finetuning parameters this time around.
Input Output 
Input Format:
{prompt}
Output Format:
``` ### RESPONSE: ```
LLM NameOpen Llama 3B Everything V2
Repository 🤗https://huggingface.co/harborwater/open-llama-3b-everything-v2 
Model Size3b
Required VRAM6.8 GB
Updated2026-04-02
Maintainerharborwater
Model Typellama
Model Files  6.8 GB   6.8 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than harborwater/open-llama-3b-everything-v2.

Rank the Open Llama 3B Everything 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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