Instructions to use HiTZ/Qwen2.5-14B-Instruct_ODESIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HiTZ/Qwen2.5-14B-Instruct_ODESIA with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="HiTZ/Qwen2.5-14B-Instruct_ODESIA")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HiTZ/Qwen2.5-14B-Instruct_ODESIA")
model = AutoModelForCausalLM.from_pretrained("HiTZ/Qwen2.5-14B-Instruct_ODESIA", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use HiTZ/Qwen2.5-14B-Instruct_ODESIA with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HiTZ/Qwen2.5-14B-Instruct_ODESIA"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HiTZ/Qwen2.5-14B-Instruct_ODESIA",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/HiTZ/Qwen2.5-14B-Instruct_ODESIA

SGLang

How to use HiTZ/Qwen2.5-14B-Instruct_ODESIA with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "HiTZ/Qwen2.5-14B-Instruct_ODESIA" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HiTZ/Qwen2.5-14B-Instruct_ODESIA",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "HiTZ/Qwen2.5-14B-Instruct_ODESIA" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HiTZ/Qwen2.5-14B-Instruct_ODESIA",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use HiTZ/Qwen2.5-14B-Instruct_ODESIA with Docker Model Runner:
```
docker model run hf.co/HiTZ/Qwen2.5-14B-Instruct_ODESIA
```

Improve language tag

by lbourdois - opened Apr 28, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+58

-46

Files changed (1) hide show

README.md +58 -46

README.md CHANGED Viewed

@@ -1,47 +1,59 @@
----
-library_name: transformers
-tags:
-- ODESIA
-license: apache-2.0
-language:
-- es
-pipeline_tag: text-generation
-base_model:
-- Qwen/Qwen2.5-14B-Instruct
----
-<p align="center">
-    <br>
-    <img src="https://leaderboard.odesia.uned.es/sites/default/files/ODESIA_leaderboard.png" style="height: 250px;">
-    <br>
-    <h3 align="center">Evaluation of NLP models in Spanish</h3>
-    <h1 align="center">IXA Submission for the 2024 ODESIA Challenge</h1>
-This model is the fine-tuned Qwen/Qwen2.5-14B-Instruct used in the IXA submission for the 2024 ODESIA Challenge.
-- 📈 ODESIA Leaderboard: https://leaderboard.odesia.uned.es/leaderboard/challenge
-You can use this model to reproduce our results using the code in this repository:
-- 💻 GitHub: https://github.com/hitz-zentroa/Odesia-Struct
-- 📒 System Description Paper: Cooming Soon
-### Model Description
-- **Developed by:** [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/)
-- **Language(s) (NLP):** Spanish
-<div style="display: flex; justify-content: space-around; width: 100%;">
-  <div style="width: 50%;" align="left">
-    <a href="http://ixa.si.ehu.es/">
-      <img src="https://raw.githubusercontent.com/ikergarcia1996/Iker-Garcia-Ferrero/master/icons/ixa.png" width="50" height="50"  alt="Ixa NLP Group">
-    </a>
-  </div>
-  <div style="width: 50%;" align="right">
-    <a href="http://www.hitz.eus/">
-      <img src="https://raw.githubusercontent.com/ikergarcia1996/Iker-Garcia-Ferrero/master/icons/Hitz.png" width="300" height="50" alt="HiTZ Basque Center for Language Technologies">
-    </a>
-  </div>
 </div>

+---
+library_name: transformers
+tags:
+- ODESIA
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+base_model:
+- Qwen/Qwen2.5-14B-Instruct
+---
+<p align="center">
+    <br>
+    <img src="https://leaderboard.odesia.uned.es/sites/default/files/ODESIA_leaderboard.png" style="height: 250px;">
+    <br>
+    <h3 align="center">Evaluation of NLP models in Spanish</h3>
+    <h1 align="center">IXA Submission for the 2024 ODESIA Challenge</h1>
+This model is the fine-tuned Qwen/Qwen2.5-14B-Instruct used in the IXA submission for the 2024 ODESIA Challenge.
+- 📈 ODESIA Leaderboard: https://leaderboard.odesia.uned.es/leaderboard/challenge
+You can use this model to reproduce our results using the code in this repository:
+- 💻 GitHub: https://github.com/hitz-zentroa/Odesia-Struct
+- 📒 System Description Paper: Cooming Soon
+### Model Description
+- **Developed by:** [Iker García-Ferrero](https://ikergarcia1996.github.io/Iker-Garcia-Ferrero/)
+- **Language(s) (NLP):** Spanish
+<div style="display: flex; justify-content: space-around; width: 100%;">
+  <div style="width: 50%;" align="left">
+    <a href="http://ixa.si.ehu.es/">
+      <img src="https://raw.githubusercontent.com/ikergarcia1996/Iker-Garcia-Ferrero/master/icons/ixa.png" width="50" height="50"  alt="Ixa NLP Group">
+    </a>
+  </div>
+  <div style="width: 50%;" align="right">
+    <a href="http://www.hitz.eus/">
+      <img src="https://raw.githubusercontent.com/ikergarcia1996/Iker-Garcia-Ferrero/master/icons/Hitz.png" width="300" height="50" alt="HiTZ Basque Center for Language Technologies">
+    </a>
+  </div>
 </div>