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Satoshi 7B by LaierTwoLabsInc

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  Austrian economics   Autotrain compatible   Bitcoin   Conversational   Economics   En   Endpoints compatible   Finance   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LaierTwoLabsInc/Satoshi-7B 

Satoshi 7B Benchmarks

LLME Score: 0.18578
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Satoshi 7B (LaierTwoLabsInc/Satoshi-7B)

Satoshi 7B Parameters and Internals

Model Type 
Instruct 7B
Use Cases 
Areas:
finance, bitcoin, Austrian economics
Additional Notes 
Satoshi 7B is designed to produce responses that do NOT fit the current political overton window, or Keynesian viewpoints. Fine-tuned on libertarian principles, Austrian economics, and Bitcoin literature producing a strong bitcoin maximalist, Austro-libertarian, ‘non-woke’ bias.
Supported Languages 
en (English)
Training Details 
Data Sources:
https://repository.spiritofsatoshi.ai/, https://mises.org/
Methodology:
SFT full parameters Finetune on QA's dataset. DPO finetune to further improve model alignment.
Context Length:
32000
LLM NameSatoshi 7B
Repository 🤗https://huggingface.co/LaierTwoLabsInc/Satoshi-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-01-21
MaintainerLaierTwoLabsInc
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LaierTwoLabsInc/Satoshi-7B.

Rank the Satoshi 7B 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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