Comments (3)
Not sure why Bloom is mentioned here.
This issue was fixed for MPT-type models (including PhoGPT): casper-hansen/AutoAWQ#155
I will spend time looking into it.
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Is there any problem of employing: https://huggingface.co/docs/transformers/quantization#quantization and/or: https://github.com/casper-hansen/AutoAWQ with limited computing resources?
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Yeah I have used AutoAWQ version 0.1.7 (which support Bloom) for quantization PhoGPT-7B5-Instruct to 4 bit GEMM group-size 128 and found this error:
The AutoAWQ working well with vietcuna-7b-v3 (which used Bloom too).
Here is the code I have used:
https://github.com/phatjkk/test_llm/blob/main/FINALL_GENERATOR_Quantization.ipynb
I don't know what the problem is. I tried some previous version of transformer but may not work!
Are you try it yet?
Thank you!
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Related Issues (20)
- What is the data format to perform fine turning of the phoGPT model? HOT 1
- How can I get the model to run on vLLM? HOT 2
- [Question] Hardware requirements with vLLM HOT 1
- Context Window of PhoGPT ? HOT 1
- Có giới thiệu và hướng dẫn bằng Tiếng Việt không bạn ơi! HOT 1
- Mình sử dụng model này bằng CPU được không bạn ơi? HOT 4
- Redistributing the model in other format HOT 1
- 4/8-bit with bitsandbytes HOT 1
- Do you have any plan for building a bi-lingual language English - Vietnames in the future? HOT 1
- Error wrong number of tensors when serving vinai/PhoGPT-4B-Chat with llama.cpp HOT 5
- Error message: "llama.cpp error: 'done_getting_tensors: wrong number of tensors; expected 388, got 195'" HOT 8
- Evaluation lack of context HOT 3
- hardware requirements to run finetune HOT 1
- Incomplete Response from 4bit Version of PhoGPT HOT 1
- OutOfMemoryError when Fine-tuning model PhoGPT4B with llm-foundry HOT 6
- Need some information about the tokenizer
- HuggingFace tokenizer does not pad to max_length? HOT 1
- Any online demo available? HOT 1
- Could you explain what is the diference the non-instruct and instruct PhoGPT verrsion ? HOT 1
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