laion / swesmith-nl2bash-stack-bugsseq

huggingface.co
Total runs: 239
24-hour runs: -1
7-day runs: 14
30-day runs: 231
Model's Last Updated: September 05 2026
text-generation

Introduction of swesmith-nl2bash-stack-bugsseq

Model Details of swesmith-nl2bash-stack-bugsseq

kimi-k2t-freelancer-32ep-32k

This model is a fine-tuned version of Qwen/Qwen3-8B on the penfever/kimi-k2t-freelancer-32ep-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 4.56.1
  • Pytorch 2.9.1+cu128
  • Datasets 4.4.1
  • Tokenizers 0.22.1

Runs of laion swesmith-nl2bash-stack-bugsseq on huggingface.co

239
Total runs
-1
24-hour runs
6
3-day runs
14
7-day runs
231
30-day runs

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swesmith-nl2bash-stack-bugsseq huggingface.co is an AI model on huggingface.co that provides swesmith-nl2bash-stack-bugsseq's model effect (), which can be used instantly with this laion swesmith-nl2bash-stack-bugsseq model. huggingface.co supports a free trial of the swesmith-nl2bash-stack-bugsseq model, and also provides paid use of the swesmith-nl2bash-stack-bugsseq. Support call swesmith-nl2bash-stack-bugsseq model through api, including Node.js, Python, http.

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laion swesmith-nl2bash-stack-bugsseq online free

swesmith-nl2bash-stack-bugsseq huggingface.co is an online trial and call api platform, which integrates swesmith-nl2bash-stack-bugsseq's modeling effects, including api services, and provides a free online trial of swesmith-nl2bash-stack-bugsseq, you can try swesmith-nl2bash-stack-bugsseq online for free by clicking the link below.

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https://huggingface.co/laion/swesmith-nl2bash-stack-bugsseq

swesmith-nl2bash-stack-bugsseq install

swesmith-nl2bash-stack-bugsseq is an open source model from GitHub that offers a free installation service, and any user can find swesmith-nl2bash-stack-bugsseq on GitHub to install. At the same time, huggingface.co provides the effect of swesmith-nl2bash-stack-bugsseq install, users can directly use swesmith-nl2bash-stack-bugsseq installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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