Llama3.1 8B PlumMath by sequelbox

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Llama3.1 8B PlumMath Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama3.1 8B PlumMath Parameters and Internals

LLM NameLlama3.1 8B PlumMath
Repository ๐Ÿค—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
Updated2025-06-09
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
Llama3.1 8B PlumMath (sequelbox/Llama3.1-8B-PlumMath)

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Note: green Score (e.g. "73.2") means that the model is better than sequelbox/Llama3.1-8B-PlumMath.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124