diff --git a/unsloth/save.py b/unsloth/save.py
index f9c677f5f7..3a275cf0c3 100644
--- a/unsloth/save.py
+++ b/unsloth/save.py
@@ -1429,7 +1429,7 @@ language:
- **License:** apache-2.0
- **Finetuned from model :** {base_model}
-This {model_type} model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+This {model_type} model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
[
](https://github.com/unslothai/unsloth)
"""
@@ -2234,13 +2234,13 @@ tags:
{"- vision-language-model" if is_vlm else ""}
---
-# {repo_id.split("/")[-1]} - GGUF
+# {repo_id.split("/")[-1]} : GGUF
This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
**Example usage**:
-- For text only LLMs: **llama-cli** **--hf** repo_id/model_name **-p** "why is the sky blue?"
-- For multimodal models: **llama-mtmd-cli** **-m** model_name.gguf **--mmproj** mmproj_file.gguf
+- For text only LLMs: `./llama.cpp/llama-cli -hf {repo_id} --jinja`
+- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf {repo_id} --jinja`
## Available Model files:
"""
@@ -2281,6 +2281,11 @@ This model was finetuned and converted to GGUF format using [Unsloth](https://gi
"The model's BOS token behavior was adjusted for GGUF compatibility.\n"
)
+ readme_content += (
+ "This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)\n"
+ '[
](https://github.com/unslothai/unsloth)\n'
+ )
+
readme_path = os.path.join(actual_save_directory, "README.md")
with open(readme_path, "w") as f:
f.write(readme_content)