Comments (6)
Could you please try the instruction-tuned model instead? It should give you better results.
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I am just happy to be a part of this chat
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Could you please try the instruction-tuned model instead? It should give you better results.
Thanks, With the instruct tuned model the output is perfect.
Btw is there any reason why the gemma_2b_en model produced repetitive output instead ks stopping ?.
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It's kind of expected that the pre-trained models only try to complete text. Maybe one way you could try is to tune the sampling parameters to see if you can get a bit diversity in the output.
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It's kind of expected that the pre-trained models only try to complete text. Maybe one way you could try is to tune the sampling parameters to see if you can get a bit diversity in the output.
Yeah, Its expected of it to complete the text but still shouldn't repeat its text right?
Example the other text generation models might produce half ending sentence outputs depending on the max_length size but they don't producr repeating ouputs.
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I've noticed the 2b model repeating itself as well. Although, I found it does it when the context of my prompt would be hard even for a human to figure out.
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Related Issues (20)
- Cannot run on v4-16 worker 0 TPU VM: "Failed to get global TPU topology" HOT 5
- After deplyed google/gemma-7b-it, there always is error response. HOT 8
- [Question] Embeddings normalization by sqrt(hidden_size) HOT 4
- is it possible to convert gemma_pytorch to onnx to tflite? HOT 2
- not found weight file HOT 3
- Inconsistency between PyTorch and JAX implementation HOT 2
- How to fine-tune Gemma with pytorch? HOT 2
- Objectivity
- Is max_position_embeddings=8096 neccessary in 2b model? HOT 3
- Can't disable sampling
- I got empty result while using 7b-it model HOT 4
- Error when running Gemma inference on GPU HOT 1
- Is it possible to load 7b-it using quantization config HOT 1
- Unable to reproduce MATH resulst HOT 2
- How to save memory when loading weights? HOT 1
- How to use gemma for multi-round conversations HOT 2
- Error when run docker/Dockerfile HOT 1
- Prepare model for deployment to Private Vertex AI endpoint HOT 5
- Gemma finetuning formatting
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