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Qwen2 7B TitanFusion by bunnycore

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:arcee-ai/arcee-spar... Base model:cognitivecomputatio... Base model:macadeliccc/samanth... Base model:natong19/qwen2-7b-i... Base model:pankajmathur/orca m...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2-7B-TitanFusion 

Qwen2 7B TitanFusion Benchmarks

LLME Score: 0.21778
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B TitanFusion (bunnycore/Qwen2-7B-TitanFusion)

Qwen2 7B TitanFusion Parameters and Internals

Model Type 
pre-trained language model
Additional Notes 
This model is a merge of several pre-trained language models using the DARE TIES merge method.
LLM NameQwen2 7B TitanFusion
Repository 🤗https://huggingface.co/bunnycore/Qwen2-7B-TitanFusion 
Base Model(s)  Samantha Qwen 2 7B   Qwen2 7B Instruct Abliterated   cognitivecomputations/dolphin-2.9.2-qwen2-7b   Arcee Spark   Orca Mini V7 7b   macadeliccc/Samantha-Qwen-2-7B   natong19/Qwen2-7B-Instruct-abliterated   cognitivecomputations/dolphin-2.9.2-qwen2-7b   arcee-ai/Arcee-Spark   pankajmathur/orca_mini_v7_7b
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintainerbunnycore
Model Typeqwen2
Instruction-BasedYes
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 Version4.44.1
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 bunnycore/Qwen2-7B-TitanFusion.

Rank the Qwen2 7B TitanFusion 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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Release v20241227
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