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Model: laion/openthoughts-4-code-qwen3-32b-annotated-32k_qwen3-1.7B_32k
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- laion/openthoughts-4-code-qwen3-32b-32k-annotated
+base_model:
+- Qwen/Qwen3-1.7B
+---
+
+Test Qwen3 1.7B post-trained on laion/openthoughts-4-code-qwen3-32b-32k-annotated (Qwen3 32B 32k output length annotated, using https://huggingface.co/datasets/mlfoundations-dev/hero_run_4_code as seed for generation)
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.00015
+- per_device_train_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 256
+- total_train_batch_size: 256
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.7.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1