linkedin / linkedin/Liger-Kernel
Add support for the LFM2 model
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 6.6k
- Forks
- 603
- Avg merge
- 1d 20h
- Merged PRs (30d)
- 47
Description
### 🚀 The feature, motivation and pitch
It shows better results than Qwen3 in the benchmark table. It has both large and small models. Adding this could be great.
Blog: https://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models
HF: https://huggingface.co/LiquidAI/LFM2-350M
### Alternatives
_No response_
### Additional context
_No response_
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the LFM2-350M model card on Hugging Face and the linked Liquid AI blog post to understand the model family and requirements. Compare those requirements with existing model integrations in Liger-Kernel, then identify the relevant entry points and tests; done means LFM2 support is implemented and validated against the project's expected benchmarks.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100