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Qwen2.5 Sharp Coder 14B Instruct by spacematt

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Qwen2.5 Sharp Coder 14B Instruct is an open-source language model by spacematt. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:deepcogito/cogito-v... Base model:qwen/qwen2.5-coder-... Base model:spacematt/qwen2.5-v...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/spacematt/Qwen2.5-Sharp-Coder-14B-Instruct 

Qwen2.5 Sharp Coder 14B Instruct Benchmarks

LLME Score: 0.18725
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Sharp Coder 14B Instruct (spacematt/Qwen2.5-Sharp-Coder-14B-Instruct)
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Qwen2.5 Sharp Coder 14B Instruct Parameters and Internals

LLM NameQwen2.5 Sharp Coder 14B Instruct
Repository 🤗https://huggingface.co/spacematt/Qwen2.5-Sharp-Coder-14B-Instruct 
Base Model(s)  Cogito V1 Preview Qwen 14B   spacematt/Qwen2.5-Vibe-Coder-14B-Instruct   Qwen/Qwen2.5-Coder-14B-Instruct   deepcogito/cogito-v1-preview-qwen-14B   spacematt/Qwen2.5-Vibe-Coder-14B-Instruct   Qwen/Qwen2.5-Coder-14B-Instruct
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-08-06
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 Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 Sharp Coder 14B Instruct

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ZYH LLM Qwen2.5 14B V4986K / 29.7 GB508
Qwen2.5 14B YOYO V4986K / 29.7 GB395
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB291
ZYH LLM Qwen2.5 14B V5986K / 29.7 GB218
Qwen2.5 14B YOYO V5986K / 29.7 GB104
Mergekit Model Stock Ggfjmyf986K / 29.7 GB140
Mergekit Model Stock Injkqri986K / 29.7 GB31
...1 DeepSeekR1 Coder 14B Preview128K / 29.7 GB103
Tessa T1 14B117K / 29.7 GB913
UIGEN T1.5 14B117K / 29.7 GB66
Note: green Score (e.g. "73.2") means that the model is better than spacematt/Qwen2.5-Sharp-Coder-14B-Instruct.

Rank the Qwen2.5 Sharp 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  
Code Generation  
Multi-Language Support and Translation  

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