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ShadowM7EXP 7B by mahiatlinux

 »  All LLMs  »  mahiatlinux  »  ShadowM7EXP 7B   URL Share it on

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  Merged Model   Autotrain compatible   Base model:liminerity/m7-7b   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mahiatlinux/ShadowM7EXP-7B 

ShadowM7EXP 7B Benchmarks

ARC: 73.12 vs 96.7 (so35)-24.4%
HellaSwag: 89.15 vs 95.3 (gpt4)-6.5%
MMLU: 64.37 vs 88.3 (so35)-27.1%
TruthfulQA: 78.06 vs 59 (gpt4)32.3%
WinoGrande: 85.08 vs 87.5 (gpt4)-2.8%
GSM8K: 70.28 vs 96.4 (so35)-27.1%
LLME Score: 0.18156
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ShadowM7EXP 7B (mahiatlinux/ShadowM7EXP-7B)

ShadowM7EXP 7B Parameters and Internals

Additional Notes 
This model is a merge of liminerity/M7-7b and automerger/YamshadowExperiment28-7B using the SLERP method as described in the YAML configuration provided.
Training Details 
Methodology:
Merge using SLERP method
LLM NameShadowM7EXP 7B
Repository 🤗https://huggingface.co/mahiatlinux/ShadowM7EXP-7B 
Base Model(s)  M7 7B   YamshadowExperiment28 7B   liminerity/M7-7b   automerger/YamshadowExperiment28-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintainermahiatlinux
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mahiatlinux/ShadowM7EXP-7B.

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Release v20241227
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