Qwen/Qwen2.5-0.5B-Instruct-GGUF · Hugging Face
Qwen published benchmark or leaderboard evidence for Qwen2.5-0.5B-Instruct-GGUF.
View sourcebackpack-run
Qwen2.5-0.5B-Instruct-GGUF is a open-weight backpack-run specialized model.
Running this yourself: can likely run on your own machine.
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Quality Score
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Arena ELO
500M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
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Aug 2026
Released
2/5 signals
2/4 signals
4/5 signals
2/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
3
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Qwen published benchmark or leaderboard evidence for Qwen2.5-0.5B-Instruct-GGUF.
View sourceGAIA score 4.7 from rft-2
View sourceGAIA score 4.7 from rft-2
View sourceQwen2.5-0.5B-Instruct-GGUF is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
View sourceQwen2.5-0.5B-Instruct-GGUF is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
Qwen published benchmark or leaderboard evidence for Qwen2.5-0.5B-Instruct-GGUF.