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Qwen2.5 Slick Coder 14B Instruct by spacematt

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:allknowingroger/qwe... Base model:hotmailuser/virtuos... Base model:nbeerbower/eva-abli... Base model:prithivmlmods/messi... Base model:qihoo360/light-r1-1... Base model:qingy2024/fusion4-1...   Base model:sakalti/saka-14b Base model:spacematt/qwen2.5-s... Base model:suayptalha/lix-14b-... Base model:tesslate/tessa-t1-1... Base model:v000000/qwen2.5-lum...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/spacematt/Qwen2.5-Slick-Coder-14B-Instruct 

Qwen2.5 Slick Coder 14B Instruct Benchmarks

LLME Score: 0.26183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Slick Coder 14B Instruct (spacematt/Qwen2.5-Slick-Coder-14B-Instruct)

Qwen2.5 Slick Coder 14B Instruct Parameters and Internals

LLM NameQwen2.5 Slick Coder 14B Instruct
Repository 🤗https://huggingface.co/spacematt/Qwen2.5-Slick-Coder-14B-Instruct 
Base Model(s)  mergekit-community/Qwen2.5-14B-Merge   QwenSlerp5 14B   Fusion4 14B Instruct   Messier Opus 14B Elite7   Saka 14B   Light R1 14B DS   Virtuoso Slerp 14B   nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B   suayptalha/Lix-14B-v0.1   v000000/Qwen2.5-Lumen-14B   spacematt/Qwen2.5-Smooth-Coder-14B-Instruct   Tessa T1 14B   mergekit-community/Qwen2.5-14B-Merge   allknowingroger/QwenSlerp5-14B   qingy2024/Fusion4-14B-Instruct   prithivMLmods/Messier-Opus-14B-Elite7   Sakalti/Saka-14B   qihoo360/Light-R1-14B-DS   hotmailuser/Virtuoso-Slerp-14B   nbeerbower/EVA-abliterated-TIES-Qwen2.5-14B   suayptalha/Lix-14B-v0.1   v000000/Qwen2.5-Lumen-14B   spacematt/Qwen2.5-Smooth-Coder-14B-Instruct   Tesslate/Tessa-T1-14B
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-04-29
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 Coder 14B Instruct32K / 29.7 GB71156109
Note: green Score (e.g. "73.2") means that the model is better than spacematt/Qwen2.5-Slick-Coder-14B-Instruct.

Rank the Qwen2.5 Slick Coder 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  
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