Qwen2.5 Coder 3B Instruct Finetuned by codedebiasi

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Qwen2.5 Coder 3B Instruct Finetuned is an open-source language model by codedebiasi. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: other, Fine-Tuned, Instruction-Based, Code Generating, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   En   Finetuned   Instruct   Mlx   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 Coder 3B Instruct Finetuned 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 3B Instruct Finetuned Parameters and Internals

LLM NameQwen2.5 Coder 3B Instruct Finetuned
Repository 🤗https://huggingface.co/codedebiasi/Qwen2.5-Coder-3B-Instruct-finetuned 
Base Model(s)  Qwen/Qwen2.5-Coder-3B-Instruct   Qwen/Qwen2.5-Coder-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2026-04-14
Maintainercodedebiasi
Model Typeqwen2
Instruction-BasedYes
Model Files  5.4 GB: 1-of-2   0.8 GB: 2-of-2
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 Coder 3B Instruct Finetuned

Best Alternatives
Context / RAM
Downloads
Likes
Tessa T1 3B117K / 6.2 GB165
UIGEN T1.5 3B117K / 6.2 GB131
Qwen2.5 Coder 3B Instruct32K / 6.2 GB38672499
Qwen 2.5 3b Smarteaz 0.01a32K / 6.3 GB261
Q2.5 CodeR1 3B32K / 6.2 GB01
Omega Qwen2.5 Coder 3B32K / 6.2 GB133
Arch Agent 3B32K / 6.2 GB408
Qwen2.5 Coder 3B Instruct32K / 6.2 GB35736
Arch Function Chat 3B32K / 6.2 GB16621
Qwen2.5 Coder 3B YOYO32K / 6.2 GB92
Note: green Score (e.g. "73.2") means that the model is better than codedebiasi/Qwen2.5-Coder-3B-Instruct-finetuned.

Rank the Qwen2.5 Coder 3B Instruct Finetuned 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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Release v20260328a