bespokelabs / Bespoke-Stratos-7B

huggingface.co
Total runs: 486
24-hour runs: 5
7-day runs: 17
30-day runs: 221
Model's Last Updated: January 23 2025
text-generation

Introduction of Bespoke-Stratos-7B

Model Details of Bespoke-Stratos-7B

Model description

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the Bespoke-Stratos-17k dataset . The dataset is derived by distilling DeepSeek-R1 using the data pipeline of Berkeley NovaSky’s Sky-T1 with some modifications. More info in the dataset card at Bespoke-Stratos-17k . It outperforms Qwen-2.5-7B-Instruct on math reasoning benchmarks:

Bespoke-Stratos-7B Qwen2.5-7B-Instruct DeepSeek-R1-Distill-Qwen-7B (Ours) DeepSeek-R1-Distill-Qwen-7B (Reported)
AIME2024 20.0 10.0 43.3 55.5
MATH500 82.0 74.2 89.4 83.3
GPQA-Diamond 37.8 33.3 44.9 49.1
LiveCodeBench v2 Easy 71.4 65.9 81.3 -
LiveCodeBench v2 Medium 25.5 18.9 42.2 -
LiveCodeBench v2 Hard 1.6 3.3 2.4 -
LiveCodeBench v2 All 36.1 31.9 46.6 -

Note that the authors of Sky-T1 had noted that they saw little or no improvement in training 7B or 14B models with their data. However, see an improvement, though not at the scale of DeepSeek's distilled model. The reason could be that we used 17k examples, while DeepSeek seems to have used 800k.

Intended uses & limitations

Apache 2.0 License

Training procedure

We used 8xH100 to train the model for 7 hours.

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 12
  • total_train_batch_size: 96
  • total_eval_batch_size: 64
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3.0
Training results
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of bespokelabs Bespoke-Stratos-7B on huggingface.co

486
Total runs
5
24-hour runs
38
3-day runs
17
7-day runs
221
30-day runs

More Information About Bespoke-Stratos-7B huggingface.co Model

More Bespoke-Stratos-7B license Visit here:

https://choosealicense.com/licenses/apache-2.0

Bespoke-Stratos-7B huggingface.co

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Bespoke-Stratos-7B huggingface.co Url

https://huggingface.co/bespokelabs/Bespoke-Stratos-7B

bespokelabs Bespoke-Stratos-7B online free

Bespoke-Stratos-7B huggingface.co is an online trial and call api platform, which integrates Bespoke-Stratos-7B's modeling effects, including api services, and provides a free online trial of Bespoke-Stratos-7B, you can try Bespoke-Stratos-7B online for free by clicking the link below.

bespokelabs Bespoke-Stratos-7B online free url in huggingface.co:

https://huggingface.co/bespokelabs/Bespoke-Stratos-7B

Bespoke-Stratos-7B install

Bespoke-Stratos-7B is an open source model from GitHub that offers a free installation service, and any user can find Bespoke-Stratos-7B on GitHub to install. At the same time, huggingface.co provides the effect of Bespoke-Stratos-7B install, users can directly use Bespoke-Stratos-7B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Bespoke-Stratos-7B install url in huggingface.co:

https://huggingface.co/bespokelabs/Bespoke-Stratos-7B

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