Update README.md

README.md

@@ -26,7 +26,7 @@ pipeline_tag: text-generation
 
 # NuMarkdown-reasoning 📄
 
-**NuMarkdown-reasoning** is the first reasoning vision-language model trained specifically to convert documents into clean GitHub-flavoured Markdown.
+**NuMarkdown-8B-reasoning** is the first reasoning vision-language model trained specifically to convert documents into clean GitHub-flavoured Markdown.
 It is a fine-tune of **Qwen 2.5-VL-7B** using ~10k synthetic Doc-to-Reasoning-to-Markdown pairs, followed by an RL phase (GRPO) with a layout-centric reward.
 
 *(Note: the number of thinking tokens can vary from 20% to 500% the number of tokens in the final answer)*
@@ -167,7 +167,7 @@ Pàgina 2 de 2
 
 ## vLLM:
 ```
-vllm serve numind/NuMarkdown-reasoning --trust_remote_code --limit-mm-per-prompt image=1
+vllm serve numind/NuMarkdown-8B-reasoning --trust_remote_code --limit-mm-per-prompt image=1
 ```
 
 ```python
@@ -193,8 +193,8 @@ def encode_image(image_path):
 base64_image = encode_image("invoice.png")
 
 chat_response = client.chat.completions.create(
-    model="numind/NuMarkdown-reasoning",
-    temperature=0,
+    model="numind/NuMarkdown-8B-reasoning",
+    temperature=0.8,
     messages=[
         {
             "role": "user", 
@@ -218,7 +218,7 @@ import torch
 from PIL import Image
 from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration
 
-model_id = "Numind/NuMarkdown-reasoning"       
+model_id = "numind/NuMarkdown-8B-reasoning"       
 
 processor = AutoProcessor.from_pretrained(
     model_id,