Qwen2.5 0.5B Base Qa Finetune V3 by minhtuan7akp

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Qwen2.5 0.5B Base Qa Finetune V3 is an open-source language model by minhtuan7akp. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.19.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-0.5...   En   Endpoints compatible   Finetuned   Qwen2   Region:us   Safetensors   Trl   Unsloth

Qwen2.5 0.5b Base Qa Finetune V3 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 0.5B Base Qa Finetune V3 Parameters and Internals

LLM NameQwen2.5 0.5b Base Qa Finetune V3
Repository 🤗https://huggingface.co/minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3 
Base Model(s)  unsloth/Qwen2.5-0.5B   unsloth/Qwen2.5-0.5B
Model Size0.5b
Required VRAM1 GB
Updated2026-05-12
Maintainerminhtuan7akp
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
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Qwen2 0.5B Stf Imdb128K / 1 GB70
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB130
...44 45ee 44f3 934d Ddc8b6e082f1128K / 1 GB80
...wen199f16 Merged FinetunedByAG128K / 1 GB60
Note: green Score (e.g. "73.2") means that the model is better than minhtuan7akp/qwen2.5_0.5b_base_qa_finetune_v3.

Rank the Qwen2.5 0.5B Base Qa Finetune V3 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