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Experiment26Yamshadow 7B by automerger

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  Merged Model   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/automerger/Experiment26Yamshadow-7B 

Experiment26Yamshadow 7B Benchmarks

ARC: 72.78 vs 96.7 (so35)-24.7%
HellaSwag: 89.05 vs 95.3 (gpt4)-6.6%
MMLU: 64.56 vs 88.3 (so35)-26.9%
TruthfulQA: 78.12 vs 59 (gpt4)32.4%
WinoGrande: 84.93 vs 87.5 (gpt4)-2.9%
GSM8K: 70.51 vs 96.4 (so35)-26.9%
LLME Score: 0.17302
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Experiment26Yamshadow 7B (automerger/Experiment26Yamshadow-7B)

Experiment26Yamshadow 7B Parameters and Internals

Training Details 
Methodology:
merge using automerger with models rwitz/experiment26-truthy-iter-0 and automerger/YamShadow-7B using parameters: density: 0.53, weight: 0.6, merge_method: dare_ties, base_model: rwitz/experiment26-truthy-iter-0, int8_mask: true, dtype: bfloat16, random_seed: 0
LLM NameExperiment26Yamshadow 7B
Repository 🤗https://huggingface.co/automerger/Experiment26Yamshadow-7B 
Base Model(s)  YamShadow 7B   automerger/YamShadow-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-03-13
Maintainerautomerger
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Experiment26Yamshadow 7B

Model
Likes
Downloads
VRAM
Experiment26Yamshadow 7B GGUF01392 GB

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than automerger/Experiment26Yamshadow-7B.

Rank the Experiment26Yamshadow 7B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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