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SOLAR 10B Nector DPO Jawade by bhavinjawade

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  1098   
  Autotrain compatible   Conversational   Dataset:intel/orca dpo pairs   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bhavinjawade/SOLAR-10B-Nector-DPO-Jawade 

SOLAR 10B Nector DPO Jawade Benchmarks

ARC: 71.33 vs 96.7 (so35)-26.2%
HellaSwag: 88.62 vs 95.3 (gpt4)-7%
MMLU: 66.22 vs 88.3 (so35)-25%
TruthfulQA: 70.92 vs 59 (gpt4)20.2%
WinoGrande: 83.43 vs 87.5 (gpt4)-4.7%
GSM8K: 64.59 vs 96.4 (so35)-33%
LLME Score: 0.19499
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SOLAR 10B Nector DPO Jawade (bhavinjawade/SOLAR-10B-Nector-DPO-Jawade)

SOLAR 10B Nector DPO Jawade Parameters and Internals

Model Type 
DPO optimized, aligned
Training Details 
Data Sources:
Intel/orca_dpo_pairs, Berkeley-nest Nectar
Methodology:
LoRA
LLM NameSOLAR 10B Nector DPO Jawade
Repository 🤗https://huggingface.co/bhavinjawade/SOLAR-10B-Nector-DPO-Jawade 
Model Size10b
Required VRAM42.9 GB
Updated2024-12-22
Maintainerbhavinjawade
Model Typellama
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   4.8 GB: 5-of-9   5.0 GB: 6-of-9   5.0 GB: 7-of-9   4.8 GB: 8-of-9   3.4 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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