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Qwen2.5 Coder Draft 1.5B Instruct by qingy2024

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Qwen2.5 Coder Draft 1.5B Instruct is an open-source language model by qingy2024. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, Code Generating, LLM Explorer Score: 0.22.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct 

Qwen2.5 Coder Draft 1.5B Instruct Benchmarks

MMLU Pro: 13.82
GPQA: 1.34
MUSR: 2.62
BBH: 13
IFEval: 41.25 vs 88 (so35)-53.1%
MATH Lvl 5: 15.79
LLME Score: 0.21621
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 Draft 1.5B Instruct (qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct)
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Qwen2.5 Coder Draft 1.5B Instruct Parameters and Internals

LLM NameQwen2.5 Coder Draft 1.5B Instruct
Repository 🤗https://huggingface.co/qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Coder-1.5B-Instruct   Qwen/Qwen2.5-Coder-1.5B-Instruct
Model Size1.5b
Required VRAM3.1 GB
Updated2026-05-01
Maintainerqingy2024
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.47.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Hammer2.1 1.5B32K / 3.1 GB106614
SuperQwen 2.5 1.5B32K / 3.5 GB142
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Qwen2.5-Coder-Draft-1.5B-Instruct.

Rank the Qwen2.5 Coder Draft 1.5B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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