MISTRAL FinetuneGSMdata1exp by Rimyy

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MISTRAL FinetuneGSMdata1exp Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MISTRAL FinetuneGSMdata1exp (Rimyy/MISTRAL-finetuneGSMdata1exp)

MISTRAL FinetuneGSMdata1exp Parameters and Internals

LLM NameMISTRAL FinetuneGSMdata1exp
Repository ๐Ÿค—https://huggingface.co/Rimyy/MISTRAL-finetuneGSMdata1exp 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerRimyy
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Rimyy/MISTRAL-finetuneGSMdata1exp.

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