diff --git a/src/axolotl/integrations/lolcats/README.md b/src/axolotl/integrations/lolcats/README.md
index 54c130e79..1b9a42012 100644
--- a/src/axolotl/integrations/lolcats/README.md
+++ b/src/axolotl/integrations/lolcats/README.md
@@ -4,7 +4,17 @@ https://github.com/HazyResearch/lolcats/
 
 ### Usage
 
-TODO: Add instruction to install `causal_dot_product`.
+Install `causal_dot_product` CUDA kernel (check the README in the `csrc` directory):
+
+```bash
+cd src/axolotl/integrations/lolcats/linear_llama/csrc
+
+# Edit `setup.py` to point to the correct CUDA capabilities L40-44
+# nano setup.py
+
+# Build the CUDA kernel
+python setup.py install
+```
 
 Step 1:
 
@@ -27,4 +37,8 @@ lora_target_modules: ["q_proj", "k_proj", "v_proj", "o_proj"]
 # unfrozen_parameters: ['.*feature_map_q.mlp.layer.*', '.*feature_map_k.mlp.layer.*', '.*window_factors.*']
 ```
 
-`axolotl train config.yaml --base-model={output_dir}/distilled --trust-remote-code`
+`axolotl train config.yaml --base-model={output_dir}/distilled --trust-remote-code --learning-rate=0.0001 # --wandb-project="..."`
+
+Step 3: Run inference on the finetuned model
+
+`axolotl inference config.yaml --lora-model-dir="{output_dir}" --trust-remote-code # --prompter="AlpacaPrompter"`