Crazy Qwen2 7B by bunnycore

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  Merged Model   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Crazy Qwen2 7B Benchmarks

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 ๐Ÿค—https://huggingface.co/bunnycore/Crazy-Qwen2-7b 
Merged ModelYes
Model Size7b
Required VRAM14.8 GB
Updated2025-02-05
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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Q2.5 Instruct 1M Harmony986K / 15.2 GB350
Impish QWEN 7B 1M986K / 15.2 GB391
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB508
MwM 7B CoT Merge1986K / 15.2 GB222
Mergekit Della Linear Vmeykci986K / 16.2 GB110
SJT 7B 1M986K / 15.2 GB131
....5 7B DeepSeek BunnyHarmony 1M986K / 14.8 GB01
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  
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 v20241227