Related Issues (20)
- Blockwise quantization only supports 16/32-bit floats, but got torch.uint8 ( `bnb.nf4` quantisation is not working) HOT 15
- simple API interface for initializing and running model inference
- tokenizer.py HOT 1
- merging intermediate adapter
- Continual pretraining for custom data is not working. Not recognizing TextFiles as a data attribute. HOT 3
- Qwen1.5 Family Support
- Add support for phi-3-mini HOT 2
- Nucleus (top-p) sampling HOT 2
- Add release workflow HOT 2
- The `litgpt evaluate` command attempts to download config files from gated repos HOT 1
- ValueError: 'Meta-Llama-3-8B-Instruct' is not a supported config name HOT 4
- --checkpoint-dir 'xx' is missing the files: ['model_config.yaml'] HOT 2
- OOM Error: CUDA out of memory when finetuning llama3-8b HOT 3
- Conversion to HF checkpoint should generate a checkpoint format that can be loaded directly HOT 1
- Failed to load the finetuned model with `AutoModelForCausalLM.from_pretrained(name, state_dict=state_dict)` HOT 4
- litgpt download doesn't work HOT 7
- Add support for memory-efficient and faster optimizers HOT 1
- combine FSDP with selective activation checkpointing
- A potential bug for multi-GPU training HOT 5
- Why FSDPStrategy is so slow-down when I use multi-machine HOT 4
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from litgpt.