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Berry V2 7B by jeiku

 »  All LLMs  »  jeiku  »  Berry V2 7B   URL Share it on

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jeiku/Berry_v2_7B 

Berry V2 7B Benchmarks

LLME Score: 0.19774
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Berry V2 7B (jeiku/Berry_v2_7B)

Berry V2 7B Parameters and Internals

Additional Notes 
This model is a merge using LazyMergekit methodology.
Training Details 
Methodology:
LazyMergekit
LLM NameBerry V2 7B
Repository 🤗https://huggingface.co/jeiku/Berry_v2_7B 
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
Maintainerjeiku
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/Berry_v2_7B.

Rank the Berry V2 7B 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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Release v20241227
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