MythoLogic Mini 7B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:gryphe/mythologic-m... Base model:quantized:gryphe/my...   En   Llama   Quantized   Region:us   Safetensors

MythoLogic Mini 7B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MythoLogic Mini 7B AWQ (TheBloke/MythoLogic-Mini-7B-AWQ)
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MythoLogic Mini 7B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model is a part of Gryphe's Mytho series, and uses a Llama-2 core powered by Nous Hermes-2, augmented by Stable Beluga and Kimiko LoRa for improved roleplaying aspects.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Performance Tips:
This model works best with Alpaca formatting.
LLM NameMythoLogic Mini 7B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/MythoLogic-Mini-7B-AWQ 
Model NameMythologic Mini 7B
Model CreatorGryphe
Base Model(s)  MythoLogic Mini 7B   Gryphe/MythoLogic-Mini-7b
Model Size7b
Required VRAM3.9 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MythoLogic-Mini-7B-AWQ.

Rank the MythoLogic Mini 7B AWQ 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