Comments (4)
Because of some compatibility issues with Llama 2. I'm working on a new version. Besides, all converted models are uploaded here:
https://huggingface.co/imone/LLaMA2_13B_with_EOT_token
https://huggingface.co/imone/LLaMA_13B_with_EOT_token
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I would like to convert a llama2_7b model and use the training method here. Do you mind sharing your new converter code?
from openchat.
Use the following script. It only supports 7B & 13B models
convert_llama_weights_to_hf_add_tokens
from openchat.
Thank you, I got it working.
https://huggingface.co/l3utterfly/llama-2-7b_with-EOT-token (if you are interested)
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Related Issues (20)
- Can I use system prompt when training? HOT 2
- Adding conversion scripts for open llama models
- conversation issue
- Does the training code support open_llama_3b_v2 HOT 6
- Online demo down? HOT 3
- Do I need to handle the chat history when using the curl example? HOT 1
- Installation is a mess, instructions are a mess HOT 1
- Can NOT reproduce the alpaca_eval results of OpenChat V3.1 13B HOT 10
- If we want to use our own data, how should we construct it? HOT 1
- OpenCoderPlus outputs will not stop HOT 2
- Purpose of the loss weighting HOT 4
- Issue with `pip3 install ochat` HOT 2
- docker gets undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE HOT 2
- discord invite in readme expired HOT 6
- What improvements have been made for v3.2 Super model? HOT 3
- openchat_v3.2_super deployment to SageMaker doesn't work HOT 3
- What is the difference between these versions of OpenChat? HOT 7
- An error in training HOT 1
- Question about the data source for Openchat-v3.2-super HOT 2
- [Question] Can OpenChat be instruct-tuned for further downstream tasks? HOT 2
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