docs: fix broken relative links (#3986) [skip ci]

* docs: fix two broken relative links

- .vscode/README.md pointed at docs/debugging.md; the file is
  docs/debugging.qmd.
- the llm_compressor README linked examples/... relative to
  src/axolotl/integrations/llm_compressor/; the example lives at the
  repo root.

* docs: use absolute GitHub URL for sparse-finetuning link and fix stale diffusion/nemo_gym example paths

---------

Co-authored-by: NanoCode012 <[email protected]>

.vscode/README.md

@@ -1 +1 @@
-See [docs/debugging.md](../docs/debugging.md) for guidance on how to modify these files to debug axolotl with VSCode.
+See [docs/debugging.qmd](../docs/debugging.qmd) for guidance on how to modify these files to debug axolotl with VSCode.

src/axolotl/integrations/diffusion/README.md

@@ -21,8 +21,8 @@ The plugin is included with Axolotl. See our
 ## Quickstart
 
 Train with an example config (Llama‑3.2 1B):
-   - Pretrain: `axolotl train examples/llama-3/diffusion-3.2-1b-pretrain.yaml`
-   - SFT: `axolotl train examples/llama-3/diffusion-3.2-1b-sft.yaml`
+   - Pretrain: `axolotl train examples/llama-3/diffusion/pretrain-1b.yaml`
+   - SFT: `axolotl train examples/llama-3/diffusion/sft-1b.yaml`
 
 ### Basic Configuration
 

src/axolotl/integrations/llm_compressor/README.md

@@ -70,7 +70,7 @@ This option is highly recommended when working with sparse models to maximize th
 
 ### Example Config
 
-See [`examples/llama-3/sparse-finetuning.yaml`](examples/llama-3/sparse-finetuning.yaml) for a complete example.
+See [`examples/llama-3/sparse-finetuning.yaml`](https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/sparse-finetuning.yaml) for a complete example.
 
 ---
 

src/axolotl/integrations/nemo_gym/examples/nemo_gym_multi_env.yaml

@@ -10,7 +10,7 @@
 #     and place it at ~/Gym/resources_servers/instruction_following/data/instruction_following.jsonl
 #
 # Usage:
-#   axolotl train examples/nemo_gym_multi_env.yaml
+#   axolotl train src/axolotl/integrations/nemo_gym/examples/nemo_gym_multi_env.yaml
 
 base_model: Qwen/Qwen2.5-1.5B-Instruct
 model_type: AutoModelForCausalLM

src/axolotl/integrations/nemo_gym/examples/nemo_gym_multi_turn.yaml

@@ -17,7 +17,7 @@
 #   trl vllm-serve --model Qwen/Qwen2.5-1.5B-Instruct
 #
 #   # Terminal 2: Train
-#   axolotl train examples/nemo_gym_multi_turn.yaml
+#   axolotl train src/axolotl/integrations/nemo_gym/examples/nemo_gym_multi_turn.yaml
 
 base_model: Qwen/Qwen2.5-1.5B-Instruct
 model_type: AutoModelForCausalLM

src/axolotl/integrations/nemo_gym/examples/nemo_gym_sudoku.yaml

@@ -9,7 +9,7 @@
 #   - The NeMo Gym repo will be auto-cloned to ~/Gym on first run
 #
 # Usage:
-#   axolotl train examples/nemo_gym_sudoku.yaml
+#   axolotl train src/axolotl/integrations/nemo_gym/examples/nemo_gym_sudoku.yaml
 
 base_model: Qwen/Qwen2.5-1.5B-Instruct
 model_type: AutoModelForCausalLM