Qwen2.5 3B Instruct by C10X

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Qwen2.5 3B Instruct is an open-source language model by C10X. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.18.

  Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

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

LLM NameQwen2.5 3B Instruct
Repository 🤗https://huggingface.co/C10X/Qwen2.5-3B-Instruct 
Model Size3b
Required VRAM6.2 GB
Updated2025-04-25
MaintainerC10X
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-2   2.2 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 3B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Saba2 3B128K / 6.2 GB60
Tessa T1 3B117K / 6.2 GB165
UIGEN T1.5 3B117K / 6.2 GB131
Qwen2.5 3B Instruct32K / 6.2 GB10226936444
SmallThinker 3B Preview32K / 6.8 GB30529412
Chirp 0132K / 6.2 GB714
Menda 3B 75032K / 6.2 GB251
Menda 3B 50032K / 6.2 GB60
Qwen2.5 3B Model Stock V3.132K / 6.8 GB93
Qwen2.5 3B Model Stock V4.132K / 6.8 GB122
Note: green Score (e.g. "73.2") means that the model is better than C10X/Qwen2.5-3B-Instruct.

Rank the Qwen2.5 3B 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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Release v20260328a