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SOLAR 10B OrcaDPO Jawade by bhavinjawade

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  Autotrain compatible   Conversational   Dataset:intel/orca dpo pairs   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bhavinjawade/SOLAR-10B-OrcaDPO-Jawade 

SOLAR 10B OrcaDPO Jawade Benchmarks

ARC: 71.16 vs 96.7 (so35)-26.4%
HellaSwag: 88.27 vs 95.3 (gpt4)-7.4%
MMLU: 66.12 vs 88.3 (so35)-25.1%
TruthfulQA: 71.57 vs 59 (gpt4)21.3%
WinoGrande: 83.66 vs 87.5 (gpt4)-4.4%
GSM8K: 64.82 vs 96.4 (so35)-32.8%
LLME Score: 0.15508
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SOLAR 10B OrcaDPO Jawade (bhavinjawade/SOLAR-10B-OrcaDPO-Jawade)
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SOLAR 10B OrcaDPO Jawade Parameters and Internals

Additional Notes 
This model is an instruction finetuned version of the SOLAR-10.7B-Instruct-v1.0 model. It shows a slight improvement on OpenLLM Leaderboard benchmarks against its base version and a significant improvement over the SOLAR 10.7B.
Training Details 
Data Sources:
Intel/orca_dpo_pairs
Methodology:
Low-Rank Adaptation (LoRA)
LLM NameSOLAR 10B OrcaDPO Jawade
Repository 🤗https://huggingface.co/bhavinjawade/SOLAR-10B-OrcaDPO-Jawade 
Model Size10b
Required VRAM21.4 GB
Updated2025-09-14
Maintainerbhavinjawade
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than bhavinjawade/SOLAR-10B-OrcaDPO-Jawade.

Rank the SOLAR 10B OrcaDPO Jawade Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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