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Kosolra SFT DPO V0 by realPCH

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  Autotrain compatible Dataset:mncai/ultrafeedback bi...   Dataset:nlpai-lab/kullm-v2   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/realPCH/kosolra_SFT_DPO_v0 

Kosolra SFT DPO V0 Benchmarks

LLME Score: 0.16726
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kosolra SFT DPO V0 (realPCH/kosolra_SFT_DPO_v0)

Kosolra SFT DPO V0 Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
nlpai-lab/kullm-v2, mncai/ultrafeedback_binarized_cleaned-ko
Methodology:
Fine-tuned using DPO on the base model.
Input Output 
Input Format:
[INST] Put instruction here. [/INST]
Accepted Modalities:
text
Output Format:
Generated text in response to input.
LLM NameKosolra SFT DPO V0
Repository 🤗https://huggingface.co/realPCH/kosolra_SFT_DPO_v0 
Model Size10.9b
Required VRAM43.4 GB
Updated2025-02-22
MaintainerrealPCH
Model Typellama
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.8 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.8 GB: 7-of-9   5.0 GB: 8-of-9   3.9 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size48000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than realPCH/kosolra_SFT_DPO_v0.

Rank the Kosolra SFT DPO V0 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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Release v20241227
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