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Model 3 Decem by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:qfq/qwen2.5-7b-inst...   Base model:sakalti/model-3   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/model-3-decem 

Model 3 Decem Benchmarks

LLME Score: 0.21947
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model 3 Decem (Sakalti/model-3-decem)

Model 3 Decem Parameters and Internals

LLM NameModel 3 Decem
Repository 🤗https://huggingface.co/Sakalti/model-3-decem 
Base Model(s)  qfq/Qwen2.5-7B-Instruct-20241204-114939   Model 3   qfq/Qwen2.5-7B-Instruct-20241204-114939   Sakalti/model-3
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-04-19
MaintainerSakalti
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 Length131072
Model Max Length131072
Transformers Version4.46.2
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 Sakalti/model-3-decem.

Rank the Model 3 Decem 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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