Install this package:
emerge -a sci-ml/ollama
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask sci-ml/ollama
Or alternatively:
emerge --autounmask-write -a sci-ml/ollama
<pkgmetadata> <maintainer type="person"> <email>negril.nx+gentoo@gmail.com</email> <name>Paul Zander</name> </maintainer> <maintainer type="person"> <email>zoltan@sinustrom.info</email> <name>Zoltan Puskas</name> </maintainer> <use> <flag name="cuda">Enable NVIDIA CUDA support</flag> <flag name="mkl">Use <pkg>sci-libs/mkl</pkg> for blas, lapack and sparse blas routines</flag> <flag name="rocm">Enable ROCm gpu computing support</flag> <flag name="cuda_sm_75">Compile for compute capability 7.5</flag> <flag name="cuda_sm_80">Compile for compute capability 8.0</flag> <flag name="cuda_sm_86">Compile for compute capability 8.6</flag> <flag name="cuda_sm_87">Compile for compute capability 8.7</flag> <flag name="cuda_sm_89">Compile for compute capability 8.9</flag> <flag name="cuda_sm_90">Compile for compute capability 9.0</flag> <flag name="cuda_sm_100">Compile for compute capability 10.0</flag> <flag name="cuda_sm_103">Compile for compute capability 10.3</flag> <flag name="cuda_sm_110">Compile for compute capability 11.0</flag> <flag name="cuda_sm_120">Compile for compute capability 12.0</flag> <flag name="cuda_sm_121">Compile for compute capability 12.1</flag> </use> <upstream> <remote-id type="github">ollama/ollama</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p sci-ml/ollama |
euse -E <flag> -p sci-ml/ollama |
euse -D <flag> -p sci-ml/ollama
| Flag | Description | 0.17.7 | 0.16.1 |
|---|---|---|---|
| "( | ⚠️ | ✓ | ✓ |
| ( | ⚠️ | ✓ | ✓ |
| ) | ⚠️ | ✓ | ✓ |
| )" | ⚠️ | ✓ | ✓ |
| avx | ⚠️ | ✓ | ✓ |
| avx2 | ⚠️ | ✓ | ✓ |
| avx512_vnni | ⚠️ | ✓ | ✓ |
| avx512f | ⚠️ | ✓ | ✓ |
| avx512vbmi | ⚠️ | ✓ | ✓ |
| avx_vnni | ⚠️ | ✓ | ✓ |
| blas | ⚠️ | ✓ | ✓ |
| bmi2 | ⚠️ | ✓ | ✓ |
| cuda | Enable NVIDIA CUDA support | ✓ | ✓ |
| cuda_sm_100 | Compile for compute capability 10.0 | ✓ | ✓ |
| cuda_sm_103 | Compile for compute capability 10.3 | ✓ | ✓ |
| cuda_sm_110 | Compile for compute capability 11.0 | ✓ | ✓ |
| cuda_sm_120 | Compile for compute capability 12.0 | ✓ | ✓ |
| cuda_sm_121 | Compile for compute capability 12.1 | ✓ | ✓ |
| cuda_sm_75 | Compile for compute capability 7.5 | ✓ | ✓ |
| cuda_sm_80 | Compile for compute capability 8.0 | ✓ | ✓ |
| cuda_sm_86 | Compile for compute capability 8.6 | ✓ | ✓ |
| cuda_sm_87 | Compile for compute capability 8.7 | ✓ | ✓ |
| cuda_sm_89 | Compile for compute capability 8.9 | ✓ | ✓ |
| cuda_sm_90 | Compile for compute capability 9.0 | ✓ | ✓ |
| f16c | ⚠️ | ✓ | ✓ |
| fma3 | ⚠️ | ✓ | ✓ |
| mkl | Use <pkg>sci-libs/mkl</pkg> for blas, lapack and sparse blas routines | ✓ | ✓ |
| rocm | Enable ROCm gpu computing support | ✓ | ✓ |
| sse4_2 | ⚠️ | ✓ | ✓ |
| vulkan | ⚠️ | ✓ | ✓ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | ollama-0.16.1-deps.tar.xz | 53044084 bytes | 0.16.1 |
| DIST | ollama-0.16.1.gh.tar.gz | 23110002 bytes | 0.16.1 |
| DIST | ollama-0.17.7-deps.tar.xz | 85522252 bytes | 0.17.7 |
| DIST | ollama-0.17.7.gh.tar.gz | 23221312 bytes | 0.17.7 |
| Type | File | Size |
|---|