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49c03c79cd
* remove completions file * fix inverted vector * add mean method * code style * remove inverted pca hotfix
46 lines
1.5 KiB
Markdown
46 lines
1.5 KiB
Markdown
# cvector-generator
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This example demonstrates how to generate a control vector using gguf models.
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Related PRs:
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- [Add support for control vectors](https://github.com/ggerganov/llama.cpp/pull/5970)
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- (Issue) [Generate control vector using llama.cpp](https://github.com/ggerganov/llama.cpp/issues/6880)
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- [Add cvector-generator example](https://github.com/ggerganov/llama.cpp/pull/7514)
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## Examples
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```sh
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# CPU only
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./cvector-generator -m ./llama-3.Q4_K_M.gguf
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# With GPU
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./cvector-generator -m ./llama-3.Q4_K_M.gguf -ngl 99
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# With advanced options
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./cvector-generator -m ./llama-3.Q4_K_M.gguf -ngl 99 --pca-iter 2000 --pca-batch 100
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# Using mean value instead of PCA
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./cvector-generator -m ./llama-3.Q4_K_M.gguf --method mean
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# To see help message
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./cvector-generator -h
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# Then, have a look at "cvector" section
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```
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## Tips and tricks
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If you have multiple lines per prompt, you can escape the newline character (change it to `\n`). For example:
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```
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<|im_start|>system\nAct like a person who is extremely happy.<|im_end|>
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<|im_start|>system\nYou are in a very good mood today<|im_end|>
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```
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Example to use output file with `llama-cli`:
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(Tips: The control vector works better when apply to layers higher than 10)
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```sh
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./llama-cli -m ./llama-3.Q4_K_M.gguf -p "<|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nSing a song<|im_end|><|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n" --special --control-vector-scaled ./control_vector.gguf 0.8 --control-vector-layer-range 10 31
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```
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