Qwen
Qwen2.5-7B-Instruct-1M is a open-weight Qwen llm model with a 1,010,000 token context window.
Running this yourself: consumer gpu should be enough.
35.4
Quality Score
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Arena ELO
8B
Parameters
1M
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.
14 of 22 public signals
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174.3K
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Jan 2025
Released
4/5 signals
1/4 signals
4/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Qwen2.5-7B-Instruct-1M 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 sourceQwen2.5-7B-Instruct-1M 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.