* common: fix coding mistakes (typos in identifiers, flags and log strings) Fix misspelled identifiers and user-facing strings across common, server and model loading: - allow_ruless -> allow_rules (misspelled identifier used in the allowlist CLI parsing and the server slot/context code) - get_formated_timings/get_formated_generation -> get_formatted_* - 'termionated' -> 'terminated' in the fit-margin assert message - 'defaulr' -> 'default' in the YAML dump - 'overriden' -> 'overridden' in tensor buffer type override logs - 'becausee' -> 'because' in the output-tensor split log - 'etected NaNs' -> 'detected NaNs' in the imatrix error message * common: fix comment typos across src, common, include and examples Fix misspelled words in code comments: - llama.h: 'typy' -> 'type', 'transfrom' -> 'transform', 'ecoder' -> 'encoder', 'indicies' -> 'indices', 'Intializes' -> 'Initializes' - common.h: 'embendings' -> 'embeddings', 'pr' -> 'or' in the fused-indexer-topk comment - chat.cpp: 'overridde' -> 'override' - ngram-map: 'occurences' -> 'occurrences', 'stastistics' -> 'statistics' - speculative.cpp: 'dont'/'inehit' -> 'don't'/'inherit' - llama-mmap.cpp: 'dont't' -> 'don't' - llama-model.h: 'hcurrently andle' -> 'currently handle' - build_gemma3/4.cpp: 'emdeddings' -> 'embeddings' - examples: 'quantizuation', 'logprobe', 'throught', 'retrun', 'swich', 'convinient', 'temporally' (-> 'temporary'), 'temproal', 'preceed' * common: remove duplicate definitions and duplicate help entries - clip-impl.h: drop the second, identical #define TN_FFN_GATE - common.cpp: remove the duplicate '-t, --threads N' help entry that was misplaced in the export-lora section (already listed in the general section) - common.cpp: merge the two 'embedding' help groups into a single group so the embedding options are listed together - llama.cpp: remove the redundant LLAMA_MAX_LAYERS define (llama-hparams.h already defines the same value and is included by llama.cpp) * common: fix remaining typos (accomodate, recommanded, occurences, occassionally) - accomodate -> accommodate in src/llama.cpp comment - recommanded -> recommended in quantize.cpp user-facing output - occurences -> occurrences in test-chat.cpp JSON string - occassionally -> occasionally in vendor/stb/stb_image_resize2.h comment Note: tokenizer.ggml.seperator_token_id kept as-is to match GGUF spec * common: remove duplicate help entries - remove the duplicate '--reasoning-budget N' help entry that was repeated in the main section (introduced in |
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| .. | ||
| CMakeLists.txt | ||
| README.md | ||
| completions.txt | ||
| cvector-generator.cpp | ||
| mean.hpp | ||
| negative.txt | ||
| pca.hpp | ||
| positive.txt | ||
README.md
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