Qwen2.5 Coder 3B Unsloth Lora by M-Alkassem

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Qwen2.5 Coder 3B Unsloth Lora is an open-source language model by M-Alkassem. Features: 3b LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.31.

  4bit Base model:adapter:unsloth/qwe... Base model:unsloth/qwen2.5-cod...   Code   Codegen   Coding-assistant   Conversational Dataset:bigcode/self-oss-instr...   Instruct   Lora   Peft   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

Qwen2.5 Coder 3B Unsloth Lora 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 Unsloth Lora (M-Alkassem/qwen2.5-coder-3b-unsloth-lora)
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Qwen2.5 Coder 3B Unsloth Lora Parameters and Internals

LLM NameQwen2.5 Coder 3B Unsloth Lora
Repository ๐Ÿค—https://huggingface.co/M-Alkassem/qwen2.5-coder-3b-unsloth-lora 
Base Model(s)  unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit   unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit
Model Size3b
Required VRAM0.1 GB
Updated2026-04-03
MaintainerM-Alkassem
Instruction-BasedYes
Model Files  0.1 GB
Quantization Type4bit
Generates CodeYes
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|o_proj|q_proj|k_proj|down_proj|gate_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Errorsreplace

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Rank the Qwen2.5 Coder 3B Unsloth Lora 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