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Crazy Qwen2 7B by bunnycore

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  Merged Model   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Crazy-Qwen2-7b 

Crazy Qwen2 7B Benchmarks

LLME Score: 0.19564
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Crazy Qwen2 7B (bunnycore/Crazy-Qwen2-7b)

Crazy Qwen2 7B Parameters and Internals

Additional Notes 
Crazy-Qwen2-7b is a merge of Hercules-5.0-Qwen2-7B, Qwen2-7B-Instruct-abliterated, and Samantha-Qwen-2-7B using mergekit.
LLM NameCrazy Qwen2 7B
Repository 🤗https://huggingface.co/bunnycore/Crazy-Qwen2-7b 
Merged ModelYes
Model Size7b
Required VRAM14.8 GB
Updated2025-05-16
Maintainerbunnycore
Model Typeqwen2
Instruction-BasedYes
Model Files  1.1 GB: 1-of-16   1.1 GB: 2-of-16   0.9 GB: 3-of-16   0.9 GB: 4-of-16   0.9 GB: 5-of-16   0.9 GB: 6-of-16   0.9 GB: 7-of-16   0.9 GB: 8-of-16   0.9 GB: 9-of-16   0.9 GB: 10-of-16   0.9 GB: 11-of-16   0.9 GB: 12-of-16   0.9 GB: 13-of-16   0.9 GB: 14-of-16   0.9 GB: 15-of-16   0.9 GB: 16-of-16
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Crazy Qwen2 7B

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB2067075323
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB522
Qwen2.5 7B RRP 1M986K / 15.2 GB806
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB107
Q2.5 Instruct 1M Harmony986K / 15.2 GB142
Impish QWEN 7B 1M986K / 15.2 GB284
COCO 7B Instruct 1M986K / 15.2 GB74
Apollo 7B986K / 15.2 GB60
Qwen2.5 7B Instruct 1M986K / 15.2 GB7992
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB50
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Crazy-Qwen2-7b.

Rank the Crazy Qwen2 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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