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CodeSaka 7.6B by Sakalti

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:qwen/qwen2.5-coder-... Base model:sousiomine/kuroiso-... Base model:suayptalha/homercre...   Codegen   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/CodeSaka-7.6B 

CodeSaka 7.6B Benchmarks

LLME Score: 0.22761
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeSaka 7.6B (Sakalti/CodeSaka-7.6B)

CodeSaka 7.6B Parameters and Internals

LLM NameCodeSaka 7.6B
Repository 🤗https://huggingface.co/Sakalti/CodeSaka-7.6B 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Kuroiso CR 7B 20250124   HomerCreativeAnvita Mix Qw7B   Qwen/Qwen2.5-Coder-7B-Instruct   SousiOmine/Kuroiso-CR-7B-20250124   suayptalha/HomerCreativeAnvita-Mix-Qw7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-06-01
MaintainerSakalti
Model Typeqwen2
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Sakalti/CodeSaka-7.6B.

Rank the CodeSaka 7.6B 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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