pretrain dont use will ouput garbage
adjusted tensors for the new tokenizer. Some weights of LlamaForCausalLM were not initialized from the model checkpoint at mylesgoose/Meta-Llama-3.1-8B-Instruct-goose-abliterated-reflection and are newly initialized because the shapes did not match:
- model.embed_tokens.weight: found shape torch.Size([128256, 4096]) in the checkpoint and torch.Size([128262, 4096]) in the model instantiated
- lm_head.weight: found shape torch.Size([128256, 4096]) in the checkpoint and torch.Size([128262, 4096]) in the model instantiated You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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