Instructions to use Felladrin/Minueza-32M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Felladrin/Minueza-32M-Base with Transformers:

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

pipe = pipeline("text-generation", model="Felladrin/Minueza-32M-Base")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Felladrin/Minueza-32M-Base")
model = AutoModelForCausalLM.from_pretrained("Felladrin/Minueza-32M-Base")
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 Felladrin/Minueza-32M-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Felladrin/Minueza-32M-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Felladrin/Minueza-32M-Base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Felladrin/Minueza-32M-Base

SGLang

How to use Felladrin/Minueza-32M-Base 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 "Felladrin/Minueza-32M-Base" \
    --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": "Felladrin/Minueza-32M-Base",
		"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 "Felladrin/Minueza-32M-Base" \
        --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": "Felladrin/Minueza-32M-Base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Felladrin/Minueza-32M-Base with Docker Model Runner:
```
docker model run hf.co/Felladrin/Minueza-32M-Base
```

Felladrin commited on Apr 6, 2025

Commit

5e4dfcf

verified ·

1 Parent(s): aaab13f

Add reference to Felladrin/Minueza-2-96M

Browse files

Files changed (1) hide show

README.md +16 -8

README.md CHANGED Viewed

@@ -27,7 +27,8 @@ widget:
     content: Water, planet, resource, future
 - messages:
   - role: user
-    content: Background story of an RPG game about wizards and dragons in a sci-fi
       world. The story takes place in a...
 inference:
   parameters:
@@ -55,7 +56,8 @@ model-index:
       value: 21.33
       name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -71,7 +73,8 @@ model-index:
       value: 26.39
       name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -88,7 +91,8 @@ model-index:
       value: 24.8
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -104,7 +108,8 @@ model-index:
     - type: mc2
       value: 47.45
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -121,7 +126,8 @@ model-index:
       value: 53.2
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -138,8 +144,10 @@ model-index:
       value: 0.38
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
 ---
 # Minueza-32M-Base
@@ -258,4 +266,4 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 ## License
-This model is licensed under the [Apache License 2.0](https://huggingface.co/Felladrin/Minueza-32M-Base/resolve/main/license.txt).

     content: Water, planet, resource, future
 - messages:
   - role: user
+    content: >-
+      Background story of an RPG game about wizards and dragons in a sci-fi
       world. The story takes place in a...
 inference:
   parameters:
       value: 21.33
       name: normalized accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 26.39
       name: normalized accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 24.8
       name: accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
     - type: mc2
       value: 47.45
     source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 53.2
       name: accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 0.38
       name: accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
       name: Open LLM Leaderboard
+new_version: Felladrin/Minueza-2-96M
 ---
 # Minueza-32M-Base
 ## License
+This model is licensed under the [Apache License 2.0](https://huggingface.co/Felladrin/Minueza-32M-Base/resolve/main/license.txt).