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Jaskier 7B DPO V6.1 by bardsai

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  7b   Autotrain compatible Dataset:jondurbin/truthy-dpo-v...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bardsai/jaskier-7b-dpo-v6.1 

Jaskier 7B DPO V6.1 Benchmarks

ARC: 73.29 vs 96.7 (so35)-24.2%
HellaSwag: 88.89 vs 95.3 (gpt4)-6.7%
MMLU: 64.39 vs 88.3 (so35)-27.1%
TruthfulQA: 77.47 vs 59 (gpt4)31.3%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 69.45 vs 96.4 (so35)-28%
LLME Score: 0.1895
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jaskier 7B DPO V6.1 (bardsai/jaskier-7b-dpo-v6.1)

Jaskier 7B DPO V6.1 Parameters and Internals

Model Type 
llm
Additional Notes 
This is a work-in-progress model, may not be ready for production use.
Supported Languages 
en (high)
Training Details 
Data Sources:
jondurbin/truthy-dpo-v0.1
Methodology:
Finetuned using Direct Preference Optimization on argilla/distilabel-math-preference-dpo
Input Output 
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
2024-02-20
Notes:
Initial release
LLM NameJaskier 7B DPO V6.1
Repository 🤗https://huggingface.co/bardsai/jaskier-7b-dpo-v6.1 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-14
Maintainerbardsai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than bardsai/jaskier-7b-dpo-v6.1.

Rank the Jaskier 7B DPO V6.1 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  
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Release v20241124
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