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Einstein V6.1 Llama3 8B by Weyaxi

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Model Card on HF 🤗: https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B 

Einstein V6.1 Llama3 8B Benchmarks

MMLU Pro: 23.68
GPQA: 4.25
MUSR: 11.23
BBH: 29.38
IFEval: 45.68 vs 88 (so35)-48.1%
ARC: 62.46 vs 96.7 (so35)-35.4%
HellaSwag: 82.41 vs 95.3 (gpt4)-13.5%
MMLU: 66.19 vs 88.3 (so35)-25%
TruthfulQA: 55.1 vs 59 (gpt4)-6.6%
WinoGrande: 79.32 vs 87.5 (gpt4)-9.3%
GSM8K: 66.11 vs 96.4 (so35)-31.4%
MATH Lvl 5: 6.8
LLME Score: 0.27935
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Einstein V6.1 Llama3 8B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is based on Llama3 with fine-tuning on a variety of datasets focusing on sciences and text-based instructions.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
allenai/ai2_arc, camel-ai/physics, camel-ai/chemistry, camel-ai/biology, camel-ai/math, metaeval/reclor, openbookqa, mandyyyyii/scibench, derek-thomas/ScienceQA, TIGER-Lab/ScienceEval, jondurbin/airoboros-3.2, LDJnr/Capybara, Cot-Alpaca-GPT4-From-OpenHermes-2.5, STEM-AI-mtl/Electrical-engineering, knowrohit07/saraswati-stem, sablo/oasst2_curated, lmsys/lmsys-chat-1m, TIGER-Lab/MathInstruct, bigbio/med_qa, meta-math/MetaMathQA-40K, piqa, allenai/WildChat, microsoft/orca-math-word-problems-200k, openchat/openchat_sharegpt4_dataset, teknium/GPTeacher-General-Instruct, m-a-p/CodeFeedback-Filtered-Instruction, totally-not-an-llm/EverythingLM-data-V3, HuggingFaceH4/no_robots, OpenAssistant/oasst_top1_2023-08-25, WizardLM/WizardLM_evol_instruct_70k
Data Volume:
unknown
Methodology:
Fine-tuning on diverse datasets
Context Length:
8192
Training Time:
unknown
Hardware Used:
8xRTX3090, 1xRTXA6000
Model Architecture:
Meta-Llama-3
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
Text
LLM NameEinstein V6.1 Llama3 8B
Repository 🤗https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
MaintainerWeyaxi
Model Typellama
Instruction-BasedYes
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   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128260
Torch Data Typebfloat16
Einstein V6.1 Llama3 8B (Weyaxi/Einstein-v6.1-Llama3-8B)

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VRAM
Einstein V6.1 Llama3 8B AWQ4165 GB

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Einstein-v6.1-Llama3-8B.

Rank the Einstein V6.1 Llama3 8B 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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