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MythoMax 13B Upstage 65B Instruct FalseBlock by IHaBiS

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  Autotrain compatible   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/IHaBiS/MythoMax-13b-upstage-65b-instruct-FalseBlock 

MythoMax 13B Upstage 65B Instruct FalseBlock Benchmarks

LLME Score: 0.10389
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MythoMax 13B Upstage 65B Instruct FalseBlock (IHaBiS/MythoMax-13b-upstage-65b-instruct-FalseBlock)
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MythoMax 13B Upstage 65B Instruct FalseBlock Parameters and Internals

Model Type 
Text Generation
Additional Notes 
This model is a result of merging 'llama-65b-instruct' from Upstage and 'MythoMax-L2-13b' from Gryphe using the frankenllama_22b.py script by chargoddard.
Supported Languages 
English (Full Support), Various (Partial Support)
Training Details 
Methodology:
Model merging using frankenllama_22b.py
Model Architecture:
Derived from merging 'llama-65b-instruct' and 'MythoMax-L2-13b'
Release Notes 
Version:
1.0
Notes:
Initial merge of LLAMA models using frankenllama script resulting in a 32.905B parameter model.
LLM NameMythoMax 13B Upstage 65B Instruct FalseBlock
Repository 🤗https://huggingface.co/IHaBiS/MythoMax-13b-upstage-65b-instruct-FalseBlock 
Model Size13b
Required VRAM65.8 GB
Updated2025-09-23
MaintainerIHaBiS
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-7   9.7 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   7.4 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than IHaBiS/MythoMax-13b-upstage-65b-instruct-FalseBlock.

Rank the MythoMax 13B Upstage 65B Instruct FalseBlock 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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