char-fork/llama.cpp
git clone https://git.t4t.associates/char-fork/llama.cpp
8300f1411
char/aliceai-t5-moe
files
| CMakeLists.txt | 304 B |
| README.md | 1.5 KiB |
| completions.txt | 6.7 KiB |
| cvector-generator.cpp | 18.1 KiB |
| mean.hpp | 1.5 KiB |
| negative.txt | 989 B |
| pca.hpp | 11.2 KiB |
| positive.txt | 955 B |
cvector-generator
This example demonstrates how to generate a control vector using gguf models.
Related PRs:
- Add support for control vectors
- (Issue) Generate control vector using llama.cpp
- Add cvector-generator example
Examples
# CPU only ./cvector-generator -m ./llama-3.Q4_K_M.gguf# With GPU ./cvector-generator -m ./llama-3.Q4_K_M.gguf-ngl 99# With advanced options ./cvector-generator -m ./llama-3.Q4_K_M.gguf-ngl 99--pca-iter 2000--pca-batch 100# Using mean value instead of PCA ./cvector-generator -m ./llama-3.Q4_K_M.gguf--method mean# To see help message ./cvector-generator -h # Then, have a look at "cvector" section
Tips and tricks
If you have multiple lines per prompt, you can escape the newline character (change it to \n). For example:
<|im_start|>system\nAct like a person who is extremely happy.<|im_end|> <|im_start|>system\nYou are in a very good mood today<|im_end|>
Example to use output file with llama-cli:
(Tips: The control vector works better when apply to layers higher than 10)
./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