Mega Ar 350M L3t V0.08 UltraTBfw by BEE-spoke-data

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  Autotrain compatible Dataset:bee-spoke-data/ultrate...   En   Endpoints compatible   Mega   Region:us   Safetensors

Mega Ar 350M L3t V0.08 UltraTBfw 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 L3t V0.08 UltraTBfw (BEE-spoke-data/mega-ar-350m-L3t-v0.08-ultraTBfw)

Mega Ar 350M L3t V0.08 UltraTBfw Parameters and Internals

Model Type 
text generation
Supported Languages 
en (full)
Training Details 
Data Sources:
BEE-spoke-data/UltraTextbooks-2.1-fw_mix
Data Volume:
3,492,282,368 tokens seen
Hardware Used:
4 GPUs
Input Output 
Output Format:
text
LLM NameMega Ar 350M L3t V0.08 UltraTBfw
Repository ๐Ÿค—https://huggingface.co/BEE-spoke-data/mega-ar-350m-L3t-v0.08-ultraTBfw 
Model Size350m
Required VRAM1.4 GB
Updated2025-02-22
MaintainerBEE-spoke-data
Model Typemega
Model Files  1.4 GB   0.0 GB
Supported Languagesen
Model ArchitectureMegaForCausalLM
Licenseapache-2.0
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/mega-ar-350m-L3t-v0.08-ultraTBfw.

Rank the Mega Ar 350M L3t V0.08 UltraTBfw 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