Qwen2.5 Coder 14B Instruct Num11 V1 V2 V3 Pairs V3 Triples by AgPerry

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Qwen2.5 Coder 14B Instruct Num11 V1 V2 V3 Pairs V3 Triples is an open-source language model by AgPerry. Features: 14b LLM, VRAM: 29.5GB, Context: 32K, License: other, Instruction-Based, Code Generating, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Full   Generated from trainer   Instruct   Llama-factory   Qwen2   Region:us   Safetensors

Qwen2.5 Coder 14B Instruct Num11 V1 V2 V3 Pairs V3 Triples Benchmarks

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 14B Instruct Num11 V1 V2 V3 Pairs V3 Triples Parameters and Internals

LLM NameQwen2.5 Coder 14B Instruct Num11 V1 V2 V3 Pairs V3 Triples
Repository 🤗https://huggingface.co/AgPerry/Qwen2.5-Coder-14B-Instruct-num11_v1-v2-v3-pairs-v3-triples 
Base Model(s)  Qwen/Qwen2.5-Coder-14B-Instruct   Qwen/Qwen2.5-Coder-14B-Instruct
Model Size14b
Required VRAM29.5 GB
Updated2026-04-27
MaintainerAgPerry
Model Typeqwen2
Instruction-BasedYes
Model Files  29.5 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version5.0.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AgPerry/Qwen2.5-Coder-14B-Instruct-num11_v1-v2-v3-pairs-v3-triples.

Rank the Qwen2.5 Coder 14B Instruct Num11 V1 V2 V3 Pairs V3 Triples 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 v20260328a