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Qwen2.5 Composite 14B Instruct by spacematt

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:cultrix/qwen2.5-14b... Base model:deepseek-ai/deepsee...   Base model:qwen/qwen2.5-14b Base model:qwen/qwen2.5-14b-in... Base model:qwen/qwen2.5-coder-... Base model:tanliboy/lambda-qwe...   Base model:wanlige/li-14b-v0.4   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/spacematt/Qwen2.5-Composite-14B-Instruct 

Qwen2.5 Composite 14B Instruct Benchmarks

LLME Score: 0.22294
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Composite 14B Instruct (spacematt/Qwen2.5-Composite-14B-Instruct)
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Qwen2.5 Composite 14B Instruct Parameters and Internals

LLM NameQwen2.5 Composite 14B Instruct
Repository 🤗https://huggingface.co/spacematt/Qwen2.5-Composite-14B-Instruct 
Base Model(s)  wanlige/li-14b-v0.4   tanliboy/lambda-qwen2.5-14b-dpo-test   CultriX/Qwen2.5-14B-Wernicke   Qwen/Qwen2.5-Coder-14B   DeepSeek R1 Distill Qwen 14B   Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B-Instruct   wanlige/li-14b-v0.4   tanliboy/lambda-qwen2.5-14b-dpo-test   CultriX/Qwen2.5-14B-Wernicke   Qwen/Qwen2.5-Coder-14B   deepseek-ai/DeepSeek-R1-Distill-Qwen-14B   Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B-Instruct
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-07-25
Maintainerspacematt
Model Typeqwen2
Instruction-BasedYes
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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ZYH LLM Qwen2.5 14B V4986K / 29.7 GB8338
Qwen2.5 14B YOYO V4986K / 29.7 GB135
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB41
ZYH LLM Qwen2.5 14B V5986K / 29.7 GB118
Qwen2.5 14B YOYO V5986K / 29.7 GB264
Mergekit Model Stock Ggfjmyf986K / 29.7 GB140
Mergekit Model Stock Injkqri986K / 29.7 GB21
...1 DeepSeekR1 Coder 14B Preview128K / 29.7 GB43
Tessa T1 14B117K / 29.7 GB2413
UIGEN T1.5 14B117K / 29.7 GB216
Note: green Score (e.g. "73.2") means that the model is better than spacematt/Qwen2.5-Composite-14B-Instruct.

Rank the Qwen2.5 Composite 14B Instruct 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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