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Llama 3 Sauce V2 8B by nbeerbower

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  Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/llama-3-...   Conversational Dataset:flammenai/flamemix-dpo... Dataset:jondurbin/gutenberg-dp... Dataset:jondurbin/truthy-dpo-v...   Endpoints compatible   Experimental   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/llama-3-sauce-v2-8B 

Llama 3 Sauce V2 8B Benchmarks

ARC: 65.61 vs 96.7 (so35)-32.2%
HellaSwag: 83.11 vs 95.3 (gpt4)-12.8%
MMLU: 67.98 vs 88.3 (so35)-23%
TruthfulQA: 56.39 vs 59 (gpt4)-4.4%
WinoGrande: 76.72 vs 87.5 (gpt4)-12.3%
GSM8K: 72.48 vs 96.4 (so35)-24.8%
LLME Score: 0.17898
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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Llama 3 Sauce V2 8B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is a bad finetune on nbeerbower/llama-3-spicy-abliterated-stella-8B using various DPO sets.
Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1, jondurbin/truthy-dpo-v0.1, flammenai/FlameMix-DPO-v1
Methodology:
Fine-tuned using Direct Preference Optimization (DPO)
Hardware Used:
A100 on Google Colab
Model Architecture:
Based on Llama-3-8b using various DPO sets
Input Output 
Input Format:
ChatML format using specific markers for system and user prompts
Performance Tips:
Use the ChatML format as specified for best results.
LLM NameLlama 3 Sauce V2 8B
Repository 🤗https://huggingface.co/nbeerbower/llama-3-sauce-v2-8B 
Base Model(s)  Llama 3 Bophades V1 8B   nbeerbower/llama-3-bophades-v1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
Maintainernbeerbower
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Sauce V2 8B (nbeerbower/llama-3-sauce-v2-8B)

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/llama-3-sauce-v2-8B.

Rank the Llama 3 Sauce V2 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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