Text Generation
PEFT
GGUF
English
deepseek
reasoning
thinking
Qwen 2.5
Lora
Lora adapter
128k context
general usage
problem solving
brainstorming
solve riddles
mergekit
adapter
llama-cpp
gguf-my-lora
Instructions to use kyang-06/DeepSeek-R1-Distill-Qwen-14B-LORA-256-RANK-F32-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kyang-06/DeepSeek-R1-Distill-Qwen-14B-LORA-256-RANK-F32-GGUF with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
kyang-06/DeepSeek-R1-Distill-Qwen-14B-LORA-256-RANK-F32-GGUF
This LoRA adapter was converted to GGUF format from DavidAU/DeepSeek-R1-Distill-Qwen-14B-LORA-256-RANK via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora DeepSeek-R1-Distill-Qwen-14B-LORA-256-RANK-f32.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora DeepSeek-R1-Distill-Qwen-14B-LORA-256-RANK-f32.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
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