Alpha Orionis V0.1 by fearlessdots

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  Autotrain compatible Dataset:nobodyexistsontheinter...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Alpha Orionis V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpha Orionis V0.1 (fearlessdots/Alpha-Orionis-v0.1)

Alpha Orionis V0.1 Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Areas:
Research
Applications:
Science, Technology, Engineering, Mathematics (STEM), Computer Science, Social Sciences
Primary Use Cases:
Reasoning and logical deduction, Critical thinking, Analysis
Additional Notes 
Experimental models demonstrating varied levels of effectiveness.
Training Details 
Data Sources:
NobodyExistsOnTheInternet/ToxicQAFinal
Methodology:
Fine-tuning processes; Model merging techniques including Mixture of Experts (MoE)
LLM NameAlpha Orionis V0.1
Repository ๐Ÿค—https://huggingface.co/fearlessdots/Alpha-Orionis-v0.1 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerfearlessdots
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than fearlessdots/Alpha-Orionis-v0.1.

Rank the Alpha Orionis V0.1 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  
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 v20241227