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Qwen3-32B-SweSmith-20step – AI Model by laion | AlphaNeural AI
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Qwen3-32B-SweSmith-20step
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transformers
safetensors
qwen3
text-generation
reinforcement-learning
code
swesmith
rl
conversational
en
laion/swesmith-2500
Qwen/Qwen3-32B
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Qwen3-32B-SweSmith-20step
RL-trained Qwen3-32B on SWEsmith.
Training Details
Base model
:
Qwen/Qwen3-32B
Training method
: rloo_n
Training data
: 2,500 SWEsmith tasks
Steps
: 20 global steps
Infrastructure
: 16x4 GH200 GPU nodes (GCP), FSDP2 with TP=2 for inference engines (24 inference engines + 4 policy/ref nodes)
Sandbox environment
: Beta9/Beam containers for code execution
Training Curve
Metric
Step 1
Step 10
Step 20
Avg Raw Reward
0.031
0.041
0.072
Pass@8
0.141
0.156
0.234
