SupaMATH by acbdkk

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Bitsandbytes   Conversational   En   Endpoints compatible   Llama   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

SupaMATH Benchmarks

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

SupaMATH Parameters and Internals

LLM NameSupaMATH
Repository ๐Ÿค—https://huggingface.co/acbdkk/SupaMATH 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM5.6 GB
Updated2024-10-22
Maintaineracbdkk
Model Typeqwen2
Model Files  4.5 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
SupaMATH (acbdkk/SupaMATH)

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803