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kimi-k2-swesmith_with_plain_docker-sandboxes-maxeps-32k
penfever/kimi-k2-swesmith_with_plain_docker-sandboxes-maxeps-32k
kimi-k2-swesmith_with_plain_docker-sandboxes-maxeps-32k is a text generation model from penfever. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Dec 17, 2025
- Updated
- Apr 13, 2026
- SHA
- 5b5ab10c
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
kimi-k2-swesmith_with_plain_docker-sandboxes-maxeps-32k
This model is a fine-tuned version of Qwen/Qwen3-8B on the penfever/kimi-k2-swesmith_with_plain_docker-sandboxes-maxeps-32k dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7.0
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- apache-2.0
- Created
- Dec 17, 2025
- Updated
- Apr 13, 2026