Swift efficient reasoning + HyperQwen serving: three checkpoints compared on RTX 3090 task time, token use, throughput and quality.
🔄 In a Training Loop
David Hauser
daavidhauser
AI & ML interests
ML 4 Science, LLMs and more.
Recent Activity
updated a collection about 2 months ago
Swift for HyperQwen — RTX 3090 benchmarks updated a collection about 2 months ago
Swift for HyperQwen — RTX 3090 benchmarks updated a model about 2 months ago
daavidhauser/Swift-1.5-Qwen3.8-27B-W4A16-HyperQwenOrganizations
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models 5
daavidhauser/Swift-1.5-Qwen3.8-27B-W4A16-HyperQwen
Text Generation • 28B • Updated • 205 • 2
daavidhauser/Swift-1.0-Qwen3.8-27B-W4A16-HyperQwen
Text Generation • 28B • Updated • 140
daavidhauser/Swift-1.5-Qwen3.8-27B-W4A16-HyperQwen-INT4
Text Generation • 28B • Updated • 261 • 1
daavidhauser/chess-bot-3000-250m
0.2B • Updated • 15 • 4
daavidhauser/chess-bot-3000-100m
0.1B • Updated • 53
datasets 0
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