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MythoMist 7B by Gryphe

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  Autotrain compatible   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Gryphe/MythoMist-7b 

MythoMist 7B Benchmarks

ARC: 65.87 vs 96.7 (so35)-31.9%
HellaSwag: 83.55 vs 95.3 (gpt4)-12.3%
MMLU: 62.32 vs 88.3 (so35)-29.4%
TruthfulQA: 59.98 vs 59 (gpt4)1.7%
WinoGrande: 78.06 vs 87.5 (gpt4)-10.8%
GSM8K: 20.24 vs 96.4 (so35)-79%
LLME Score: 0.15301
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MythoMist 7B (Gryphe/MythoMist-7b)
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MythoMist 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
The model aims to reduce usage of the word anticipation, ministrations, and similar terms. A separate script was used to select layers for longest responses, specifically from Toppy-M-7B.
Supported Languages 
en (fluent)
Training Details 
Methodology:
Merge of multiple models on a layer-by-layer basis using a criss-cross pattern similar to MythoMax recipe.
Input Output 
Input Format:
Alpaca prompt template
Accepted Modalities:
text
Output Format:
variable
Release Notes 
Version:
Addendum (2023-11-23)
Date:
2023-11-23
Notes:
Resolved a flaw in the original algorithm. Maintained the model despite not fully achieving its original objective, due to user satisfaction. Watching the MergeMonster repo for further updates.
LLM NameMythoMist 7B
Repository 🤗https://huggingface.co/Gryphe/MythoMist-7b 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerGryphe
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.35.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the MythoMist 7B

Model
Likes
Downloads
VRAM
MythoMist 7B GGUF2818223 GB
MythoMist 7B GPTQ5294 GB
MythoMist 7B AWQ4104 GB

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Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than Gryphe/MythoMist-7b.

Rank the MythoMist 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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