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Saba1 7B by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible   Base model:aidc-ai/marco-o1   Base model:sakalti/model-3   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Saba1-7B 

Saba1 7B Benchmarks

MMLU Pro: 37.51
GPQA: 8.84
MUSR: 19.08
BBH: 35.24
IFEval: 45.85 vs 88 (so35)-47.9%
MATH Lvl 5: 36.63
LLME Score: 0.31744
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Saba1 7B (Sakalti/Saba1-7B)

Saba1 7B Parameters and Internals

LLM NameSaba1 7B
Repository 🤗https://huggingface.co/Sakalti/Saba1-7B 
Base Model(s)  Marco O1   Model 3   AIDC-AI/Marco-o1   Sakalti/model-3
Merged ModelYes
Model Size7b
Required VRAM14.8 GB
Updated2025-03-23
MaintainerSakalti
Model Typeqwen2
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
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B RRP 1M986K / 15.2 GB1416
Qwen2.5 7B MixStock V0.1986K / 15.2 GB1083
Qwen2.5 7B Preview986K / 15.2 GB220
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Saba1-7B.

Rank the Saba1 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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Release v20241227
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