main: update refs -> llama
fix examples/main ref
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42 changed files with 101 additions and 101 deletions
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@ -18,7 +18,7 @@ wget https://raw.githubusercontent.com/brunoklein99/deep-learning-notes/master/s
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--use-checkpointing
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# predict
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./bin/main -m open-llama-3b-v2-q8_0.gguf --lora lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin
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./bin/llama -m open-llama-3b-v2-q8_0.gguf --lora lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin
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```
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**Only llama based models are supported!** The output files will be saved every N iterations (config with `--save-every N`).
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@ -45,7 +45,7 @@ In `main` you can also load multiple LORA adapters, which will then be mixed tog
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For example if you have two LORA adapters `lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin` and `lora-open-llama-3b-v2-q8_0-bible-LATEST.bin`, you can mix them together like this:
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```bash
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./bin/main -m open-llama-3b-v2-q8_0.gguf \
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./bin/llama -m open-llama-3b-v2-q8_0.gguf \
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--lora lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin \
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--lora lora-open-llama-3b-v2-q8_0-bible-LATEST.bin
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```
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@ -55,7 +55,7 @@ You can change how strong each LORA adapter is applied to the base model by usin
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For example to apply 40% of the 'shakespeare' LORA adapter, 80% of the 'bible' LORA adapter and 100% of yet another one:
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```bash
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./bin/main -m open-llama-3b-v2-q8_0.gguf \
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./bin/llama -m open-llama-3b-v2-q8_0.gguf \
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--lora-scaled lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin 0.4 \
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--lora-scaled lora-open-llama-3b-v2-q8_0-bible-LATEST.bin 0.8 \
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--lora lora-open-llama-3b-v2-q8_0-yet-another-one-LATEST.bin
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