Sakura SOLAR Instruct DPO V2 by kyujinpy

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  Autotrain compatible   Conversational Dataset:argilla/distilabel-mat...   En   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Sakura SOLAR Instruct DPO V2 Benchmarks

Sakura SOLAR Instruct DPO V2 (kyujinpy/Sakura-SOLAR-Instruct-DPO-v2)
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Sakura SOLAR Instruct DPO V2 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model follows the developments in the field by utilizing the DPO method.
Training Details 
Data Sources:
argilla/distilabel-math-preference-dpo
Methodology:
DPO method
LLM NameSakura SOLAR Instruct DPO V2
Repository ๐Ÿค—https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct-DPO-v2 
Model Size10.7b
Required VRAM21.4 GB
Updated2025-08-18
Maintainerkyujinpy
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   1.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.1
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 kyujinpy/Sakura-SOLAR-Instruct-DPO-v2.

Rank the Sakura SOLAR Instruct DPO V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124