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Count Cpt V6 by shkennedy33

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Count Cpt V6 is an open-source language model by shkennedy33. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

Base model:quantized:unsloth/q...   Base model:unsloth/qwen2.5-7b   En   Endpoints compatible   Gguf   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/shkennedy33/count-cpt-v6 

Count Cpt V6 Benchmarks

LLME Score: 0.30988
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Count Cpt V6 (shkennedy33/count-cpt-v6)
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Count Cpt V6 Parameters and Internals

LLM NameCount Cpt V6
Repository 🤗https://huggingface.co/shkennedy33/count-cpt-v6 
Base Model(s)  unsloth/Qwen2.5-7B   unsloth/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2026-05-23
Maintainershkennedy33
Model Typeqwen2
Model Files  15.2 GB   4.7 GB   5.4 GB   8.1 GB   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Rank the Count Cpt V6 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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