diff --git a/docs/hub/_toctree.yml b/docs/hub/_toctree.yml
index 1338b5d17..73b199a15 100644
--- a/docs/hub/_toctree.yml
+++ b/docs/hub/_toctree.yml
@@ -144,6 +144,8 @@
             title: GGUF usage with llama.cpp
           - local: gguf-gpt4all
             title: GGUF usage with GPT4All
+      - local: ollama
+        title: Use Ollama with GGUF Model
 - title: Datasets
   local: datasets
   isExpanded: true
diff --git a/docs/hub/ollama.md b/docs/hub/ollama.md
new file mode 100644
index 000000000..548316b16
--- /dev/null
+++ b/docs/hub/ollama.md
@@ -0,0 +1,72 @@
+# Use Ollama with any GGUF Model on Hugging Face Hub
+
+![cover](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/ollama/cover.png)
+
+Ollama is an application based on llama.cpp to interact with LLMs directly through your computer. You can use any GGUF quants created by the community ([bartowski](https://huggingface.co/bartowski), [MaziyarPanahi](https://huggingface.co/MaziyarPanahi) and many more) on Hugging Face directly with Ollama, without creating a new `Modelfile`. At the time of writing there are 45K public GGUF checkpoints on the Hub, you can run any of them with a single `ollama run` command. We also provide customisations like choosing quantization type, system prompt and more to improve your overall experience. 
+
+Getting started is as simple as:
+
+```sh
+ollama run hf.co/{username}/{repository}
+```
+
+Please note that you can use both `hf.co` and `huggingface.co` as the domain name.
+
+Here are some other models that you can try:
+
+```sh
+ollama run hf.co/bartowski/Llama-3.2-1B-Instruct-GGUF
+ollama run hf.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated-GGUF
+ollama run hf.co/arcee-ai/SuperNova-Medius-GGUF
+ollama run hf.co/bartowski/Humanish-LLama3-8B-Instruct-GGUF
+```
+
+## Custom Quantization
+
+By default, the `Q4_K_M` quantization scheme is used. To select a different scheme, simply add a tag:
+
+```sh
+ollama run hf.co/{username}/{repository}:{quantization}
+```
+
+![guide](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/ollama/guide.png)
+
+For example:
+
+```sh
+ollama run hf.co/bartowski/Llama-3.2-3B-Instruct-GGUF:IQ3_M
+ollama run hf.co/bartowski/Llama-3.2-3B-Instruct-GGUF:Q8_0
+
+# the quantization name is case-insensitive, this will also work
+ollama run hf.co/bartowski/Llama-3.2-3B-Instruct-GGUF:iq3_m
+
+# you can also select a specific file
+ollama run hf.co/bartowski/Llama-3.2-3B-Instruct-GGUF:Llama-3.2-3B-Instruct-IQ3_M.gguf
+```
+
+## Custom Chat Template and Parameters
+
+By default, a template will be selected automatically from a list of commonly used templates. It will be selected based on the built-in `tokenizer.chat_template` metadata stored inside the GGUF file.
+
+If your GGUF file doesn't have a built-in template or uses a custom chat template, you can create a new file called `template` in the repository. The template must be a Go template, not a Jinja template. Here's an example:
+
+```
+{{ if .System }}<|system|>
+{{ .System }}<|end|>
+{{ end }}{{ if .Prompt }}<|user|>
+{{ .Prompt }}<|end|>
+{{ end }}<|assistant|>
+{{ .Response }}<|end|>
+```
+
+To know more about Go template format, please refer to [this documentation](https://github.com/ollama/ollama/blob/main/docs/template.md)
+
+You can optionally configure a system prompt by putting it into a new file named `system` in the repository.
+
+To change sampling parameters, create a file named `params` in the repository. The file must be in JSON format. For the list of all available parameters, please refer to [this documentation](https://github.com/ollama/ollama/blob/main/docs/modelfile.md#parameter).
+
+
+## References
+
+- https://github.com/ollama/ollama/blob/main/docs/README.md
+- https://huggingface.co/docs/hub/en/gguf