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Vi Math Llama3 by dachieu

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  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dachieu/vi-math-llama3 

Vi Math Llama3 Benchmarks

LLME Score: 0.19045
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vi Math Llama3 (dachieu/vi-math-llama3)

Vi Math Llama3 Parameters and Internals

LLM NameVi Math Llama3
Repository 🤗https://huggingface.co/dachieu/vi-math-llama3 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerdachieu
Model Typellama
Instruction-BasedYes
Model Files  5.7 GB   8.5 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dachieu/vi-math-llama3.

Rank the Vi Math Llama3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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