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MythoMax L2 13B by Gryphe

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  Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

MythoMax L2 13B Benchmarks

ARC: 60.92 vs 96.7 (so35)-37%
HellaSwag: 83.56 vs 95.3 (gpt4)-12.3%
MMLU: 55.33 vs 88.3 (so35)-37.3%
TruthfulQA: 51.97 vs 59 (gpt4)-11.9%
WinoGrande: 75.22 vs 87.5 (gpt4)-14%
GSM8K: 9.02 vs 96.4 (so35)-90.6%
LLME Score: 0.22833
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MythoMax L2 13B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
storywriting, roleplaying
Additional Notes 
MythoMax is a variant of MythoMix combining MythoLogic-L2 and Huginn models using an experimental tensor merge technique, with unique tensor ratios applied across 363 tensors.
Supported Languages 
en (Proficient)
Input Output 
Input Format:
Alpaca formatting
Output Format:
Assumed text; exact format not specified
LLM NameMythoMax L2 13B
Repository 🤗https://huggingface.co/Gryphe/MythoMax-L2-13b 
Model Size13b
Required VRAM25.9 GB
Updated2024-11-16
MaintainerGryphe
Model Typellama
Model Files  2.1 GB: 1-of-13   2.0 GB: 2-of-13   2.1 GB: 3-of-13   2.0 GB: 4-of-13   2.0 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.1 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   1.6 GB: 13-of-13
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
MythoMax L2 13B (Gryphe/MythoMax-L2-13b)

Quantized Models of the MythoMax L2 13B

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Likes
Downloads
VRAM
Mythomax L2 13B Q4 K M GGUF1111738 GB
MythoMax L2 13B GGUF71150605 GB
MythoMax L2 13B GPTQ18657917 GB
MythoMax L2 13B GGUF12247 GB
MythoMax L2 13B AWQ95007 GB
MythoMax L2 13B GGML82245 GB

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Rank the MythoMax L2 13B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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