Comments (3)
casper-hansen
commented on July 18, 2024
1
#71 is working on INT8 support. Still things left to be implemented.
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yunfeng-scale
commented on July 18, 2024
How would you compare this with 8 bit bitsandbytes? i think bitsandbytes have minimal performance loss
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casper-hansen
commented on July 18, 2024
How would you compare this with 8 bit bitsandbytes? i think bitsandbytes have minimal performance loss
It is not implemented yet, so I cannot speak to it
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Related Issues (20)
- cogvlm2 issue
- cogvlm2 issue
- cogvlm2 issue
- Cannot copy out of meta tensor; no data!
- quantize models with large context HOT 3
- why "w_bit": 6
- qwen2-72B can not be quantized by autoawq HOT 17
- when quantize qwen2 by autoawq, it not works successful. HOT 2
- Support Qwen2-57B-A14B?
- awqint4 to gguf ,ModuleNotFoundError: No module named 'awq.apply_awq' HOT 4
- Is there an example on how to quantize with multiple GPUs? Is it possible to quantize Llama 3 70B with 2x3090 24GB?
- I wanted to add a pull request, but it was closed immediately, prompting that the base branch is protected. HOT 2
- ConnectionError: Couldn't reach 'mit-han-lab/pile-val-backup' on the Hub (ConnectTimeout) HOT 11
- [Performance degrade]phi-3-medium-128k-instruct after awq quantized, then output repetitively HOT 2
- Support Qwen2 72 Awq quantization？ HOT 2
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:7 and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
- Unable to install with `poetry`
- Is it possible to quantize MoE models?
- Multi-GPU quantization randomly loads all host GPUs HOT 1
- Same AWQ model behaves differently on two similar machines
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