Mega Ar 350M V0.13 by pszemraj

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  Autotrain compatible Dataset:bee-spoke-data/knowled... Dataset:bee-spoke-data/napiero... Dataset:bee-spoke-data/ultrate...   En   Endpoints compatible   Generated from trainer   Mega   Region:us   Safetensors

Mega Ar 350M V0.13 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mega Ar 350M V0.13 (pszemraj/mega-ar-350m-v0.13)

Mega Ar 350M V0.13 Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (English)
Training Details 
Data Sources:
BEE-spoke-data/UltraTextbooks-2.1-fw_mix, BEE-spoke-data/napierone-epub-raw, BEE-spoke-data/knowledge-inoc-concat-v1
Data Volume:
3468165120 input tokens seen
Hardware Used:
multi-GPU (3 devices)
LLM NameMega Ar 350M V0.13
Repository ๐Ÿค—https://huggingface.co/pszemraj/mega-ar-350m-v0.13 
Model Size350m
Required VRAM1.4 GB
Updated2025-02-22
Maintainerpszemraj
Model Typemega
Model Files  1.4 GB   0.0 GB
Supported Languagesen
Model ArchitectureMegaForCausalLM
Licenseapache-2.0
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Rank the Mega Ar 350M V0.13 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