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Ana V1 M7 GGUF by TheBloke

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Base model:quantized:sao10k/an...   Base model:sao10k/ana-v1-m7   En   Gguf   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Ana-v1-m7-GGUF 

Ana V1 M7 GGUF Benchmarks

LLME Score: 0.12884
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ana V1 M7 GGUF (TheBloke/Ana-v1-m7-GGUF)
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Ana V1 M7 GGUF Parameters and Internals

Model Type 
mistral
Use Cases 
Limitations:
Little to no Censorship during Roleplay, Little to no Positivity Bias during Roleplay
Additional Notes 
Ana - A model solely focused on the RP / ERP Experience. Kinda Smart. Slightly Horny by default. Purely experimental.
Training Details 
Methodology:
A merge + train. Final qLoRA train took 3 hours on a 4090.
Hardware Used:
A 4090 for final qLoRA training, the current 4090 broke down, falling back to a 3060 12GB for training. Using runpod for training.
LLM NameAna V1 M7 GGUF
Repository 🤗https://huggingface.co/TheBloke/Ana-v1-m7-GGUF 
Model NameAna v1 m7
Model CreatorSaofiq
Base Model(s)  Ana V1 M7   Sao10K/Ana-v1-m7
Required VRAM3.1 GB
Updated2025-09-21
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Ana-v1-m7-GGUF.

Rank the Ana V1 M7 GGUF 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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