LLM EXPLORER 64,811 MODELS INDEXED

Qwen2.5 0.5B Instruct by MatthewsFace

By MatthewsFace · 6 downloads

Qwen2.5 0.5B Instruct is an open-source language model by MatthewsFace. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.16.

  Instruct   Qwen2   Region:us   Safetensors

Qwen2.5 0.5B Instruct Parameters and Internals

LLM NameQwen2.5 0.5B Instruct
Repository πŸ€—https://huggingface.co/MatthewsFace/Qwen2.5-0.5B-Instruct 
Model Size0.5b
Required VRAM1 GB
Updated2025-09-18
MaintainerMatthewsFace
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Quantized Models of the Qwen2.5 0.5B Instruct

Model
Likes
Downloads
VRAM
...edCore Qwen2.5 0.5B 16bit Mini01651 GB

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Qwen2 0.5B Abyme Merge3128K / 1.3 GB461
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Qwen2.5 0.5B Instruct32K / 1 GB6324790572
Switchboard Router 0.5B32K / 1 GB5102
Qwen2.5 0.5B Abliterated32K / 1.3 GB14501
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Qwen2.5 0.5B Grounded Rloo32K / 1 GB7051
Note: green Score (e.g. "73.2") means that the model is better than MatthewsFace/Qwen2.5-0.5B-Instruct.