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Llama3.1 8B PlumMath by sequelbox

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Model Card on HF 🤗: https://huggingface.co/sequelbox/Llama3.1-8B-PlumMath 

Llama3.1 8B PlumMath Benchmarks

MMLU Pro: 21.95
GPQA: 9.06
MUSR: 8.98
BBH: 16.45
IFEval: 22.42 vs 88 (so35)-74.5%
MATH Lvl 5: 4.76
LLME Score: 0.25813
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.1 8B PlumMath (sequelbox/Llama3.1-8B-PlumMath)

Llama3.1 8B PlumMath Parameters and Internals

LLM NameLlama3.1 8B PlumMath
Repository 🤗https://huggingface.co/sequelbox/Llama3.1-8B-PlumMath 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   ValiantLabs/Llama3.1-8B-ShiningValiant2   ValiantLabs/Llama3.1-8B-Cobalt   meta-llama/Llama-3.1-8B-Instruct   ValiantLabs/Llama3.1-8B-ShiningValiant2   ValiantLabs/Llama3.1-8B-Cobalt
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainersequelbox
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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