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CalmExperiment 7B Slerp by allknowingroger

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CalmExperiment 7B Slerp is an open-source language model by allknowingroger. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, HF Score: 76.7, LLM Explorer Score: 0.13, Arc: 73.4, HellaSwag: 89.1, MMLU: 64.4, TruthfulQA: 77.9, WinoGrande: 85.2, GSM8K: 70.1.

  Merged Model   Autotrain compatible Base model:maziyarpanahi/calme... Base model:yam-peleg/experimen...   Endpoints compatible   Instruct Maziyarpanahi/calme-7b-instruc...   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Yam-peleg/experiment26-7b
Model Card on HF 🤗: https://huggingface.co/allknowingroger/CalmExperiment-7B-slerp 

CalmExperiment 7B Slerp Benchmarks

ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 89.09 vs 95.3 (gpt4)-6.5%
MMLU: 64.35 vs 88.3 (so35)-27.1%
TruthfulQA: 77.93 vs 59 (gpt4)32.1%
WinoGrande: 85.16 vs 87.5 (gpt4)-2.7%
GSM8K: 70.13 vs 96.4 (so35)-27.3%
LLME Score: 0.13216
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CalmExperiment 7B Slerp (allknowingroger/CalmExperiment-7B-slerp)
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CalmExperiment 7B Slerp Parameters and Internals

Model Type 
merge
Training Details 
Methodology:
LazyMergekit with slerp merge method
LLM NameCalmExperiment 7B Slerp
Repository 🤗https://huggingface.co/allknowingroger/CalmExperiment-7B-slerp 
Base Model(s)  Experiment26 7B   MaziyarPanahi/Calme-7B-Instruct-v0.9   yam-peleg/Experiment26-7B   MaziyarPanahi/Calme-7B-Instruct-v0.9
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerallknowingroger
Model Typemistral
Instruction-BasedYes
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 Version4.38.2
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 allknowingroger/CalmExperiment-7B-slerp.

Rank the CalmExperiment 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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