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robin-13b-v2-delta

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Hi,
robin-delta-v2 is a delta model, which means you need to merge it with the base model (i.e., LLaMA-13B).
The merge script could be found at https://github.com/OptimalScale/LMFlow#53-reproduce-the-result

python utils/apply_delta.py \
    --base-model-path {huggingface-model-name-or-path-to-base-model} \
    --delta-path {path-to-delta-model} \
    --target-model-path {path-to-merged-model}

thanks! it works.
btw, does the generation require "#" as eos_token to terminate? just ant to bring this up: I think vicuna v2 fixed a similar issue by re-training using "" to replace "###", wonder if it is similar cause.

yes, robin models use "###" as eos_token to terminate.
I do not fully understand what is the issue/consequence of using "#" you mentioned. Could you elaborate more?
Thanks!

yes, robin models use "###" as eos_token to terminate.
I do not fully understand what is the issue/consequence of using "#" you mentioned. Could you elaborate more?
Thanks!

Is Robin-7B-v2 a base model or a model that has learned eos_token through SFT? I tired to set eos_token = '###' in tokenizer, also I used
model.generate(inputs, eos_token_id= tokenizer.eos_token_id, max_length=512)
BUT it does not stop at eos_token, instead continues until the maximum length.

Hi, it is a model after SFT. the stop token is '###'
As for inference, you can take a look at our doc https://github.com/OptimalScale/LMFlow
Thanks