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Saka 14B by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:sometimesanotion/la... Base model:sometimesanotion/qw...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/Saka-14B 

Saka 14B Benchmarks

MMLU Pro: 48.84
GPQA: 19.46
MUSR: 20.74
BBH: 49.72
IFEval: 71.74 vs 88 (so35)-18.5%
MATH Lvl 5: 40.94
LLME Score: 0.3983
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Saka 14B (Sakalti/Saka-14B)

Saka 14B Parameters and Internals

LLM NameSaka 14B
Repository 🤗https://huggingface.co/Sakalti/Saka-14B 
Base Model(s)  sometimesanotion/Lamarck-14B-v0.7   Qwenvergence 14B V11   sometimesanotion/Lamarck-14B-v0.7   sometimesanotion/Qwenvergence-14B-v11
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-06-01
MaintainerSakalti
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/Saka-14B.

Rank the Saka 14B 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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