hybrid-llama/turboquant/examples/simple
Marvin 1dd0700988 hybrid-llama: merge ik_llama IQK CPU GEMM into TurboQuant fork
Base: AtomicBot-ai/atomic-llama-cpp-turboquant @ cd5609390. IQK source: ikawrakow/ik_llama.cpp @ fe215a8c (ggml/src/iqk only).

- GGML_IQK_MUL_MAT / GGML_IQK_FLASH_ATTENTION options (default OFF)

- 57 IQK repacked types, blocks, traits; IQK hooks in ggml_compute_forward_mul_mat

- ggml-cpu with IQK ON builds and links; IQK OFF build unaffected

Assisted-by: opencode (Muse Spark)
2026-09-05 18:09:49 -03:00
..
CMakeLists.txt hybrid-llama: merge ik_llama IQK CPU GEMM into TurboQuant fork 2026-09-05 18:09:49 -03:00
README.md hybrid-llama: merge ik_llama IQK CPU GEMM into TurboQuant fork 2026-09-05 18:09:49 -03:00
simple.cpp hybrid-llama: merge ik_llama IQK CPU GEMM into TurboQuant fork 2026-09-05 18:09:49 -03:00

README.md

llama.cpp/example/simple

The purpose of this example is to demonstrate a minimal usage of llama.cpp for generating text with a given prompt.

./llama-simple -m ./models/llama-7b-v2/ggml-model-f16.gguf "Hello my name is"

...

main: n_len = 32, n_ctx = 2048, n_parallel = 1, n_kv_req = 32

 Hello my name is Shawn and I'm a 20 year old male from the United States. I'm a 20 year old

main: decoded 27 tokens in 2.31 s, speed: 11.68 t/s

llama_print_timings:        load time =   579.15 ms
llama_print_timings:      sample time =     0.72 ms /    28 runs   (    0.03 ms per token, 38888.89 tokens per second)
llama_print_timings: prompt eval time =   655.63 ms /    10 tokens (   65.56 ms per token,    15.25 tokens per second)
llama_print_timings:        eval time =  2180.97 ms /    27 runs   (   80.78 ms per token,    12.38 tokens per second)
llama_print_timings:       total time =  2891.13 ms