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StrangeMerges 30 7B Slerp by Gille

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  Merged Model   Autotrain compatible Base model:yam-peleg/experimen...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Yam-peleg/experiment26-7b
Model Card on HF 🤗: https://huggingface.co/Gille/StrangeMerges_30-7B-slerp 

StrangeMerges 30 7B Slerp Benchmarks

ARC: 74.15 vs 96.7 (so35)-23.3%
HellaSwag: 89.15 vs 95.3 (gpt4)-6.5%
MMLU: 64.65 vs 88.3 (so35)-26.8%
TruthfulQA: 76.12 vs 59 (gpt4)29%
WinoGrande: 84.85 vs 87.5 (gpt4)-3%
GSM8K: 70.2 vs 96.4 (so35)-27.2%
LLME Score: 0.18702
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
StrangeMerges 30 7B Slerp (Gille/StrangeMerges_30-7B-slerp)

StrangeMerges 30 7B Slerp Parameters and Internals

Model Type 
text generation
LLM NameStrangeMerges 30 7B Slerp
Repository 🤗https://huggingface.co/Gille/StrangeMerges_30-7B-slerp 
Base Model(s)  StrangeMerges 21 7B Slerp   Experiment26 7B   Gille/StrangeMerges_21-7B-slerp   yam-peleg/Experiment26-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
MaintainerGille
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_30-7B-slerp.

Rank the StrangeMerges 30 7B Slerp Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241217
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