Llma3 Manydata Our Data Rope by kawagoshi-llm-team

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llma3 Manydata Our Data Rope Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llma3 Manydata Our Data Rope (kawagoshi-llm-team/llma3_manydata_our_data_rope)

Llma3 Manydata Our Data Rope Parameters and Internals

LLM NameLlma3 Manydata Our Data Rope
Repository ๐Ÿค—https://huggingface.co/kawagoshi-llm-team/llma3_manydata_our_data_rope 
Model Size12b
Required VRAM24.2 GB
Updated2025-02-05
Maintainerkawagoshi-llm-team
Model Typellama
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.2 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size100096
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than kawagoshi-llm-team/llma3_manydata_our_data_rope.

Rank the Llma3 Manydata Our Data Rope 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