Comments (3)
LLaVa is a LLaMa model and should be supported for quantizing the linear layers.
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Yes, LLaVa is LLaMa model. Changes need to be done, since now, following code cannot load official llava model,
model = AutoAWQForCausalLM.from_pretrained(model_path)
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Llava is now supported.
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Related Issues (20)
- Support of llava-v1.5 and llava-v1.6 with transformers==4.40.0 HOT 4
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- Phi-3 mini support? HOT 5
- Possibly a bug when checking if awq_ext is installed HOT 2
- python 3.12 support HOT 1
- Can I use peft/lora with fuse_layers = True ? HOT 1
- torch 2.3.x support HOT 1
- Need Assistance with “pip install autoawq” Error HOT 3
- assert freqs_cis.shape == (x.shape[1], x.shape[-1])
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- Question about format difference between AutoAWQ and AutoGPTQ
- After quantization,the ppl is ok but humaneval score drops sharply HOT 2
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- anyone found the solution to this?
- llama symmetric quantize bug HOT 3
- Vllm AutoAWQ with 4-GPU doesnt utilize GPU HOT 1
- Support for Traditional Linear/CNN Layer?
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