Bump llama-cpp-python, +tensor_split by @shouyiwang, +mul_mat_q (#3610)
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@ -261,7 +261,9 @@ Optionally, you can use the following command-line flags:
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| `--no-mmap` | Prevent mmap from being used. |
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| `--mlock` | Force the system to keep the model in RAM. |
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| `--mul_mat_q` | Activate new mulmat kernels. |
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| `--cache-capacity CACHE_CAPACITY` | Maximum cache capacity. Examples: 2000MiB, 2GiB. When provided without units, bytes will be assumed. |
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| `--tensor_split TENSOR_SPLIT` | Split the model across multiple GPUs, comma-separated list of proportions, e.g. 18,17 |
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| `--llama_cpp_seed SEED` | Seed for llama-cpp models. Default 0 (random). |
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| `--n_gqa N_GQA` | grouped-query attention. Must be 8 for llama-2 70b. |
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| `--rms_norm_eps RMS_NORM_EPS` | 5e-6 is a good value for llama-2 models. |
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