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Cognitive Hacker Gguf by ebowwa

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Cognitive Hacker Gguf is an open-source language model by ebowwa. Features: 7b LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

  4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/ebowwa/cognitive-hacker-gguf 

Cognitive Hacker Gguf Benchmarks

LLME Score: 0.14506
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitive Hacker Gguf (ebowwa/cognitive-hacker-gguf)
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Cognitive Hacker Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameCognitive Hacker Gguf
Repository 🤗https://huggingface.co/ebowwa/cognitive-hacker-gguf 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM4.4 GB
Updated2026-04-23
Maintainerebowwa
Model Typemistral
Model Files  4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than ebowwa/cognitive-hacker-gguf.

Rank the Cognitive Hacker Gguf 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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