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Model 3 by Sakalti

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

Model 3 Benchmarks

MMLU Pro: 38.39
GPQA: 9.51
MUSR: 11.5
BBH: 36.32
IFEval: 62.64 vs 88 (so35)-28.8%
MATH Lvl 5: 37.08
LLME Score: 0.32919
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Model 3 (Sakalti/model-3)

Model 3 Parameters and Internals

LLM NameModel 3
Repository 🤗https://huggingface.co/Sakalti/model-3 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B-Instruct
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-03-12
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

Best Alternatives to Model 3

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB332966262
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB352
Qwen2.5 7B RRP 1M986K / 15.2 GB2086
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB1927
COCO 7B Instruct 1M986K / 15.2 GB9013
Q2.5 Instruct 1M Harmony986K / 15.2 GB651
Impish QWEN 7B 1M986K / 15.2 GB764
Apollo 7B986K / 15.2 GB490
Hush Qwen2.5 7B RP V1.1 1M986K / 15.2 GB301
Qwen2.5 7B Instruct 1M986K / 15.2 GB8802
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/model-3.

Rank the Model 3 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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