BenchmarksQwen6mo ago
Qwen/Qwen2-57B-A14B-Instruct · Hugging Face
Qwen published benchmark or leaderboard evidence for Qwen2-57B-A14B-Instruct.
View sourceQwen
Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the instruction-tuned 57B-A14B Mixture-of-Experts Qwen2 model.
Running this yourself: likely needs a rented cloud gpu.
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38.4
Quality Score
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Arena ELO
57B
Parameters
66K
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.
18 of 22 public signals
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12.6K
Downloads
83
Likes
Jun 2024
Released
5/5 signals
3/4 signals
4/5 signals
3/4 signals
3/4 signals
Parameters
57B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
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 Qwen2-57B-A14B-Instruct.
View sourceGAIA score 4.7 from rft-2
View sourceGAIA score 4.7 from rft-2
View sourceQwen2-57B-A14B-Instruct 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 sourceQwen2-57B-A14B-Instruct 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 Qwen2-57B-A14B-Instruct.