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Llama3 8B SuperNova Spectrum Hermes DPO by yuvraj17

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Llama3 8B SuperNova Spectrum Hermes DPO is an open-source language model by yuvraj17. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.21.

  Arxiv:2305.18290   Conversational   Dpo   En   Endpoints compatible   Llama   Model-index   Region:us   Rlhf   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO 

Llama3 8B SuperNova Spectrum Hermes DPO Benchmarks

MMLU Pro: 18.16
GPQA: 6.94
MUSR: 9.62
BBH: 21.24
IFEval: 46.91 vs 88 (so35)-46.7%
MATH Lvl 5: 5.66
LLME Score: 0.20709
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B SuperNova Spectrum Hermes DPO (yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO)
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Llama3 8B SuperNova Spectrum Hermes DPO Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text-generation
Supported Languages 
en (high)
Training Details 
Data Sources:
yuvraj17/chatml-OpenHermes2.5-dpo-binarized-alpha-2k
Methodology:
Direct Preference Optimization (DPO)
Training Time:
1:57:00
Hardware Used:
1x A40s (48GB VRAM)
Model Architecture:
QLoRA 4-bit precision
Input Output 
Accepted Modalities:
text
Output Format:
generated_text
LLM NameLlama3 8B SuperNova Spectrum Hermes DPO
Repository 🤗https://huggingface.co/yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO 
Model Size8b
Required VRAM16.1 GB
Updated2026-04-04
Maintaineryuvraj17
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yuvraj17/Llama3-8B-SuperNova-Spectrum-Hermes-DPO.

Rank the Llama3 8B SuperNova Spectrum Hermes DPO 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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