Comments (7)
Maybe try temperature=0.
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Maybe try temperature=0.
Thank you very much for your valuable advice. However, I obtained the same result regardless of the temperature.
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@zkqq The correct drafts will be displayed in yellow. I noticed that there are almost no yellow words in your image. You may not have correctly matched the draft model with the base model, or you did not set the --model-type parameter. Its default value is llama-2-chat, and it must be changed to vicuna.
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yuhuili/EAGLE-Vicuna-7B-v1.3
Thank you very much for your reply. You are correct; the issue likely stems from the mismatch between the EAGLE head and the origin model. However, I believe I have configured all necessary parameters, including the model type.
I trained an EAGLE head, ran webui.py and the evaluation, and observed a good acceleration effect. However, when switching back to the EAGLE head from yuhuili/EAGLE-Vicuna-7B-v1.3, there are negative impacts. Both config.json are identical, with the only difference being the pytorch_model.bin file.
from eagle.
No issues were encountered when using yuhuili/EAGLE-Vicuna-7B-v1.3, but there are issues with the weights you trained yourself?
from eagle.
yuhuili/EAGLE-Vicuna-7B-v1.3,
On the contrary, there is no issue with utilizing the model weights that I have trained personally. However, employing the yuhuili/EAGLE-Vicuna-7B-v1.3 weights may result in adverse effects.
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The possible reason is that the template or weights of your base model are different from those used when we trained the draft model.
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Related Issues (20)
- Any plan to support Llama 405B (Llama 3.1) HOT 3
- python -m eagle.ge_data.allocation --outdir [path of data] HOT 2
- How to use multi-GPU when gen data? HOT 2
- Any hint to improve average accept length for fine tuned LLAMA 70b? HOT 4
- ge_data_all_llama2chat
- Question about EAGLE-2 HOT 5
- Can Eagle2 use multi-gpus to inference? HOT 1
- Can Ealge2 use multi-gpus to inference? I mean data parallelism HOT 1
- Is this expected behavior? HOT 2
- Support Qwen2 in Eagle's inference framwork HOT 3
- Confusion in Figure 5 (b) of EAGLE2 paper HOT 2
- Will smaller models be supported? HOT 1
- Qwen2 inference HOT 8
- Actual parameter setting for different sizes of the model? HOT 1
- Reproduction Bias HOT 4
- Some questions that arise when studying your code HOT 2
- Can not reproduce speedup results reported in the paper. HOT 2
- When Train the Auto-regression Head, RuntimeError: CUDA error: device-side assert triggered
- what's the difference between ea_generate and eagenerate
- Evaluating Eagle on HumanEval, GSM8K, Alpaca, CNN/DM, and Natural Questions Datasets
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