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A I 0xtom 7B Slerp by InnerI

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  Merged Model   0x0dad0/nous nous v2 0   Autotrain compatible Base model:finetune:tomaszki/n... Base model:tomaszki/nous-thirt...   Conversational   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Tomaszki/nous-thirty
Model Card on HF 🤗: https://huggingface.co/InnerI/A-I-0xtom-7B-slerp 

A I 0xtom 7B Slerp Benchmarks

ARC: 58.19 vs 96.7 (so35)-39.8%
HellaSwag: 77.64 vs 95.3 (gpt4)-18.5%
MMLU: 58.74 vs 88.3 (so35)-33.5%
TruthfulQA: 54.78 vs 59 (gpt4)-7.2%
WinoGrande: 73.24 vs 87.5 (gpt4)-16.3%
GSM8K: 40.18 vs 96.4 (so35)-58.3%
LLME Score: 0.20011
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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A I 0xtom 7B Slerp Parameters and Internals

Model Type 
text-generation
Additional Notes 
Average model loss: 0.3912096044793725
Training Details 
Methodology:
LazyMergekit
Input Output 
Input Format:
messages = [{"role": "user", "content": "<input_text>"}]
Accepted Modalities:
text
Output Format:
outputs[0]["generated_text"]
Performance Tips:
Use sample=True, temperature=0.7, top_k=50, top_p=0.95 for improved outputs
LLM NameA I 0xtom 7B Slerp
Repository 🤗https://huggingface.co/InnerI/A-I-0xtom-7B-slerp 
Base Model(s)  0x0dad0/nous_nous_v2_0   Nous Thirty   0x0dad0/nous_nous_v2_0   tomaszki/nous-thirty
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-12-02
MaintainerInnerI
Model Typellama
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 ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
A I 0xtom 7B Slerp (InnerI/A-I-0xtom-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than InnerI/A-I-0xtom-7B-slerp.

Rank the A I 0xtom 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 v20241124
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