Comments (1)
We only save the parameters for let
and lwc
for training.
To save the quantized model, set the --save_dir
argument.
from omniquant.
Related Issues (20)
- RuntimeError: Trying to backward through the graph a second time (or directly access saved tensors after they have already been freed). HOT 3
- Checksums didn't match for dataset source files HOT 7
- seq_len is deprecated and unused in transformers>=4.38.0 HOT 1
- Other Task HOT 1
- KeyError: 'Cache only has 0 layers, attempted to access layer with index 0' HOT 2
- When reproducing evaluation results for Llama-2-13b w4a4, I got nan HOT 4
- W4A4 in llama2-7b HOT 4
- AttributeError: 'FalconAttention' object has no attribute 'maybe_rotary' HOT 1
- TypeError: FalconRotaryEmbedding.forward() missing 1 required positional argument: position_ids
- Is activation get quantized on-the-fly? HOT 5
- Llama-3-8B HOT 5
- OPT-30B
- Questions regarding Infusing Omniquant into MLC HOT 3
- Some questions about the results of weight only quantification in the paper
- Which bug do you fix for auto_gptq HOT 1
- How to accelerate the inference speed with real_quant HOT 3
- Questions about quantization
- Questions about quantization
- The llama-1-65b model seems unstable in this code HOT 2
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