Comments (1)
This was fixed by setting use_triton=True
. Not sure why, but I'm not complaining.
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Related Issues (20)
- [FEATURE] ADD Support DBRX HOT 16
- zeros remain zero?
- [FEATURE] ADD Jamba Support
- [BUG] Can not save quantized model to disk: "you shouldn't move a model that is dispatched using accelerate hooks."
- Error when trying to quantize the JAIS model. HOT 10
- [BUG] GPTQ Kernels dont work with PEFT
- Error when quantizing mixtral 8x7b model. "ZeroDivisionError: float division by zero " HOT 1
- TypeError: forward() missing 1 required positional argument: 'hidden_states'[BUG] ? HOT 3
- [BUG]GPTQ QWEN-72B-Chat HOT 4
- gptq 4bit avg loss is large HOT 3
- export mistral8x7b error
- [BUG] Llama 3 8B Instruct - `no_inject_fused_attention` must be true or else errors out HOT 8
- Why doesn't AutoGPTQ quantize lm_head layer? HOT 5
- What magnitude of avg loss indicates a relatively good result for a quantization model HOT 2
- Why LLaMA3-8B after GPTQ test in wikitext2 so bad? HOT 8
- [PR Ready for Review] [FEATURE] Extend Support for Phi-3
- [FEATURE] Backport vllm expanded Marlin kernel to autogptq. HOT 1
- [DEPRECATION] Discussion on Fused attention and QiGEN HOT 4
- Llama-3 8B Instruct quantized to 8 Bit spits out gibberish in transformers `model.generate()` but works fine in vLLM? HOT 5
- [BUG]safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer
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