c3b075f069
* 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 | ||
| convert-llama2c-to-ggml.cpp | ||
README.md
Convert llama2.c model to ggml
This example reads weights from project llama2.c and saves them in ggml compatible format. The vocab that is available in models/ggml-vocab.bin is used by default.
To convert the model first download the models from the llama2.c repository:
$ make -j
After successful compilation, following usage options are available:
usage: ./llama-convert-llama2c-to-ggml [options]
options:
-h, --help show this help message and exit
--copy-vocab-from-model FNAME path of gguf llama model or llama2.c vocabulary from which to copy vocab (default 'models/7B/ggml-model-f16.gguf')
--llama2c-model FNAME [REQUIRED] model path from which to load Karpathy's llama2.c model
--llama2c-output-model FNAME model path to save the converted llama2.c model (default ak_llama_model.bin')
An example command using a model from karpathy/tinyllamas is as follows:
$ ./llama-convert-llama2c-to-ggml --copy-vocab-from-model llama-2-7b-chat.gguf.q2_K.bin --llama2c-model stories42M.bin --llama2c-output-model stories42M.gguf.bin
Note: The vocabulary for stories260K.bin should be its own tokenizer tok512.bin found in karpathy/tinyllamas/stories260K.
Now you can use the model with a command like:
$ ./llama-cli -m stories42M.gguf.bin -p "One day, Lily met a Shoggoth" -n 500 -c 256