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YamShadow 7B by automerger

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  Merged Model   Autotrain compatible Base model:corticalstack/shado... Base model:finetune:corticalst...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/automerger/YamShadow-7B 

YamShadow 7B Benchmarks

ARC: 72.53 vs 96.7 (so35)-25%
HellaSwag: 88.9 vs 95.3 (gpt4)-6.7%
MMLU: 64.64 vs 88.3 (so35)-26.8%
TruthfulQA: 78.35 vs 59 (gpt4)32.8%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 70.2 vs 96.4 (so35)-27.2%
LLME Score: 0.18186
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YamShadow 7B (automerger/YamShadow-7B)

YamShadow 7B Parameters and Internals

Training Details 
Data Sources:
mayacinka/yam-jom-7B, CorticalStack/shadow-clown-7B-slerp
Methodology:
Automated merge with density: 0.53, weight: 0.6, merge_method: dare_ties
LLM NameYamShadow 7B
Repository 🤗https://huggingface.co/automerger/YamShadow-7B 
Base Model(s)  Shadow Clown 7B Slerp   CorticalStack/shadow-clown-7B-slerp
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-05
Maintainerautomerger
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 Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the YamShadow 7B

Model
Likes
Downloads
VRAM
YamShadow 7B GGUF11112 GB

Best Alternatives to YamShadow 7B

Best Alternatives
Context / RAM
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Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
MegaBeam Mistral 7B 512K512K / 14.4 GB655449
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB647215
Hebrew Mistral 7B 200K256K / 30 GB489915
Astral 256K 7B V2250K / 14.4 GB60
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than automerger/YamShadow-7B.

Rank the YamShadow 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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