Comments (1)
Please check here: https://github.com/horseee/LLM-Pruner?tab=readme-ov-file#version-information
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Related Issues (20)
- 为什么num_examples默认是10? HOT 2
- Question related to the model tuning HOT 2
- Pruning MQA?
- 在将部分层进行剪枝之后,不能直接通过tgi加载模型
- Adding a tutorial for adapting new models?
- cannot import name 'SiLUActivation' from 'transformers.activations' HOT 1
- Issue: Missing Generation of `pytorch_model.bin` File During Model Tuning HOT 3
- Cannot use huggface to load
- OSError: Can't load tokenizer for 'baffo32/decapoda-research-llama-7B-hf'. HOT 1
- ConnectionError: Couldn't reach https://raw.githubusercontent.com/wojzaremba/lstm/master/data/ptb.train.txt (ReadTimeout(ReadTimeoutError("HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=100)"))) HOT 1
- The quantization of the compressed models
- 延迟评估 HOT 1
- 剪枝率值的问题
- Unable to reproduce the results for param_first and param_second in the paper after finetuning.
- RecursionError: maximum recursion depth exceeded HOT 1
- Is this method implementable on multi-GPUs?
- How to prune the embedding and lm_head?
- I tired Mistral 7b model, but I got this issue
- Pruning llama3
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