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oobabooga 2023-08-26 22:24:44 -07:00
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@ -269,16 +269,16 @@ Optionally, you can use the following command-line flags:
#### llama.cpp
| Flag | Description |
|-------------|-------------|
| `--no-mmap` | Prevent mmap from being used. |
| `--mlock` | Force the system to keep the model in RAM. |
| Flag | Description |
|---------------|---------------|
| `--no-mmap` | Prevent mmap from being used. |
| `--mlock` | Force the system to keep the model in RAM. |
| `--mul_mat_q` | Activate new mulmat kernels. |
| `--cache-capacity CACHE_CAPACITY` | Maximum cache capacity. Examples: 2000MiB, 2GiB. When provided without units, bytes will be assumed. |
| `--tensor_split TENSOR_SPLIT` | Split the model across multiple GPUs, comma-separated list of proportions, e.g. 18,17 |
| `--llama_cpp_seed SEED` | Seed for llama-cpp models. Default 0 (random). |
| `--n_gqa N_GQA` | grouped-query attention. Must be 8 for llama-2 70b. |
| `--rms_norm_eps RMS_NORM_EPS` | 5e-6 is a good value for llama-2 models. |
| `--tensor_split TENSOR_SPLIT` | Split the model across multiple GPUs, comma-separated list of proportions, e.g. 18,17 |
| `--llama_cpp_seed SEED` | Seed for llama-cpp models. Default 0 (random). |
| `--n_gqa N_GQA` | GGML only (not used by GGUF): Grouped-Query Attention. Must be 8 for llama-2 70b. |
| `--rms_norm_eps RMS_NORM_EPS` | GGML only (not used by GGUF): 5e-6 is a good value for llama-2 models. |
| `--cpu` | Use the CPU version of llama-cpp-python instead of the GPU-accelerated version. |
|`--cfg-cache` | llamacpp_HF: Create an additional cache for CFG negative prompts. |