Open Issues Need Help
View All on GitHub [transformers] support DeepSeek V3 about 1 month ago
enhancement good first issue help wanted huggingface feature
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels
DeepSeek Native Sparse Attention (NSA) Kernel about 1 month ago
help wanted feature fun
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels
[feat] on-paper form of RoPE about 1 month ago
enhancement good first issue feature
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels
TiledMLP 5 months ago
help wanted
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels
Transformers v5 compatibility 6 months ago
good first issue help wanted huggingface
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels
good first issue
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels
good first issue
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels
Add support for the SmolLM3 model. about 1 year ago
AI Summary: Add support for the SmolLM3 model to the Liger Kernel library by implementing necessary patching APIs and kernels to optimize its performance, similar to existing support for other LLMs like LLaMA and others. This involves adapting the existing framework to handle the specific architecture and operations of SmolLM3.
Complexity:
4/5
good first issue huggingface
Efficient Triton Kernels for LLM Training
Python
#finetuning#gemma2#hacktoberfest#llama#llama3#llm-training#llms#mistral#phi3#triton#triton-kernels