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author | ben | 2023-03-04 22:22:22 +0100 |
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committer | ben | 2025-03-04 22:10:24 +0100 |
commit | 2b21004bf948e1ab9e61f7ba48a03909f23aeb1c (patch) | |
tree | 48f57cefda49b9e088280f4f264cce83945e5463 | |
parent | 83bdf4117371b5a70245efecc0876220caa3c8cc (diff) | |
download | ai_env-2b21004bf948e1ab9e61f7ba48a03909f23aeb1c.tar.gz ai_env-2b21004bf948e1ab9e61f7ba48a03909f23aeb1c.tar.bz2 ai_env-2b21004bf948e1ab9e61f7ba48a03909f23aeb1c.tar.xz |
Add precision about hardware requirement.
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -23,7 +23,7 @@ It doesn't require an internet connection to work once the models have been down To run this project efficiently, a powerful computer with a recent NVIDIA GPU is required. -As an example, I achieved good performance with an Intel(R) Core(TM) i7-14700HX, a GeForce RTX 4050, and 32GB of RAM using the [qwen2.5:7b](https://ollama.com/library/qwen2.5) model. +As an example, I achieved good performance with an Intel(R) Core(TM) i7-14700HX, a GeForce RTX 4050 (6GB VRAM), and 32GB of RAM using the [qwen2.5:7b](https://ollama.com/library/qwen2.5) model. The model [qwen2.5-coder:32b](https://ollama.com/library/qwen2.5-coder:32b) is usable but slow with this configuration. |