[Doc] Move examples and further reorganize user guide (#18666)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

examples/others/tensorize_vllm_model.py

@@ -28,7 +28,7 @@ https://github.com/coreweave/tensorizer
 To serialize a model, install vLLM from source, then run something 
 like this from the root level of this repository:
 
-python examples/other/tensorize_vllm_model.py \
+python examples/others/tensorize_vllm_model.py \
    --model facebook/opt-125m \
    serialize \
    --serialized-directory s3://my-bucket \
@@ -48,7 +48,7 @@ providing a `--keyfile` argument.
 To deserialize a model, you can run something like this from the root 
 level of this repository:
 
-python examples/other/tensorize_vllm_model.py \
+python examples/others/tensorize_vllm_model.py \
    --model EleutherAI/gpt-j-6B \
    --dtype float16 \
    deserialize \
@@ -66,11 +66,11 @@ shard's rank. Sharded models serialized with this script will be named as
 model-rank-%03d.tensors
 
 For more information on the available arguments for serializing, run 
-`python -m examples.other.tensorize_vllm_model serialize --help`.
+`python -m examples.others.tensorize_vllm_model serialize --help`.
 
 Or for deserializing:
 
-`python examples/other/tensorize_vllm_model.py deserialize --help`.
+`python examples/others/tensorize_vllm_model.py deserialize --help`.
 
 Once a model is serialized, tensorizer can be invoked with the `LLM` class 
 directly to load models:
@@ -91,7 +91,7 @@ TensorizerConfig arguments desired.
 In order to see all of the available arguments usable to configure 
 loading with tensorizer that are given to `TensorizerConfig`, run:
 
-`python examples/other/tensorize_vllm_model.py deserialize --help`
+`python examples/others/tensorize_vllm_model.py deserialize --help`
 
 under the `tensorizer options` section. These can also be used for
 deserialization in this example script, although `--tensorizer-uri` and