text
Looks like 
Looks like 
mention
@Meta
Meta
text
 thinks we forgot they created PyTorch, so now they've open-sourced Lingua, a powerful and flexible library for training and inferencing large language models.
 thinks we forgot they created PyTorch, so now they've open-sourced Lingua, a powerful and flexible library for training and inferencing large language models.
new_line
new_line
text
Things that stand out:
Things that stand out:
new_line
new_line
text
- Architecture: Pure PyTorch 
- Architecture: Pure PyTorch 
inline_code
`nn.Module`
nn.Module
text
 implementation for easy customization.
 implementation for easy customization.
new_line
new_line
text
- Checkpointing: Uses the new PyTorch distributed saving method (.distcp format) for flexible model reloading across different GPU configurations.
- Checkpointing: Uses the new PyTorch distributed saving method (.distcp format) for flexible model reloading across different GPU configurations.
new_line
new_line
text
- Configuration: Utilizes data classes and YAML files for intuitive setup and modification.
- Configuration: Utilizes data classes and YAML files for intuitive setup and modification.
new_line
new_line
text
- Profiling: Integrates with xFormers' profiler for automatic MFU and HFU calculation, plus memory profiling.
- Profiling: Integrates with xFormers' profiler for automatic MFU and HFU calculation, plus memory profiling.
new_line
new_line
text
- Slurm Integration: Includes 
- Slurm Integration: Includes 
inline_code
`stool.py`
stool.py
text
 for seamless job launching on Slurm clusters.
 for seamless job launching on Slurm clusters.
new_line
new_line
text
Some results from 
Some results from 
mention
@Meta
Meta
text
 to show off:
 to show off:
new_line
new_line
text
- 1B parameter models trained on 60B tokens achieve strong performance across various NLP tasks.
- 1B parameter models trained on 60B tokens achieve strong performance across various NLP tasks.
new_line
new_line
text
- 7B parameter Mamba model (trained on 200B tokens) shows competitive results with Llama 7B on benchmarks like ARC, MMLU, and BBH.
- 7B parameter Mamba model (trained on 200B tokens) shows competitive results with Llama 7B on benchmarks like ARC, MMLU, and BBH.
new_line
new_line
text
If you're working on LLM research or looking to experiment with cutting-edge language model architectures, Lingua is definitely worth exploring.
If you're working on LLM research or looking to experiment with cutting-edge language model architectures, Lingua is definitely worth exploring.
Looks like @Meta thinks we forgot they created PyTorch, so now they've open-sourced Lingua, a powerful and flexible library for training and inferencing large language models.

Things that stand out:

- Architecture: Pure PyTorch `nn.Module` implementation for easy customization.

- Checkpointing: Uses the new PyTorch distributed saving method (.distcp format) for flexible model reloading across different GPU configurations.

- Configuration: Utilizes data classes and YAML files for intuitive setup and modification.

- Profiling: Integrates with xFormers' profiler for automatic MFU and HFU calculation, plus memory profiling.

- Slurm Integration: Includes `stool.py` for seamless job launching on Slurm clusters.

Some results from @Meta to show off:

- 1B parameter models trained on 60B tokens achieve strong performance across various NLP tasks.

- 7B parameter Mamba model (trained on 200B tokens) shows competitive results with Llama 7B on benchmarks like ARC, MMLU, and BBH.

If you're working on LLM research or looking to experiment with cutting-edge language model architectures, Lingua is definitely worth exploring.
🤝
GoDjMike louisbrulenaudet flflow
👀
John6666