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Qwen2.5 Coder 7B Instruct Ties by Etherll

 »  All LLMs  »  Etherll  »  Qwen2.5 Coder 7B Instruct Ties   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Etherll/Qwen2.5-Coder-7B-Instruct-Ties 

Qwen2.5 Coder 7B Instruct Ties Benchmarks

MMLU Pro: 27.81
GPQA: 10.63
MUSR: 13.43
BBH: 28.01
IFEval: 50.05 vs 88 (so35)-43.1%
MATH Lvl 5: 16.92
LLME Score: 0.32321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 7B Instruct Ties (Etherll/Qwen2.5-Coder-7B-Instruct-Ties)

Qwen2.5 Coder 7B Instruct Ties Parameters and Internals

Additional Notes 
This model is a merge created using mergekit, with Qwen/Qwen2.5-Coder-7B as the base model and Qwen/Qwen2.5-Coder-7B-Instruct as part of the merged components. The merge method used is TIES, with specific configuration settings like normalize: true, int8_mask: true, and dtype: bfloat16.
LLM NameQwen2.5 Coder 7B Instruct Ties
Repository 🤗https://huggingface.co/Etherll/Qwen2.5-Coder-7B-Instruct-Ties 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B   Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2024-12-21
MaintainerEtherll
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.44.0
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 Etherll/Qwen2.5-Coder-7B-Instruct-Ties.

Rank the Qwen2.5 Coder 7B Instruct Ties 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 v20241217
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