Instructions to use Anserwise/AWAXIS-Think-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Anserwise/AWAXIS-Think-31B with Transformers:

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

pipe = pipeline("text-generation", model="Anserwise/AWAXIS-Think-31B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("Anserwise/AWAXIS-Think-31B")
model = AutoModelForImageTextToText.from_pretrained("Anserwise/AWAXIS-Think-31B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Anserwise/AWAXIS-Think-31B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Anserwise/AWAXIS-Think-31B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Anserwise/AWAXIS-Think-31B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Anserwise/AWAXIS-Think-31B

SGLang

How to use Anserwise/AWAXIS-Think-31B 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 "Anserwise/AWAXIS-Think-31B" \
    --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": "Anserwise/AWAXIS-Think-31B",
		"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 "Anserwise/AWAXIS-Think-31B" \
        --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": "Anserwise/AWAXIS-Think-31B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Anserwise/AWAXIS-Think-31B with Docker Model Runner:
```
docker model run hf.co/Anserwise/AWAXIS-Think-31B
```

Anserwise commited on 16 days ago

Commit

1808112

verified ·

1 Parent(s): cb5e691

Fix: remove unsloth-injected config keys; align transformers_version to 5.5.0 for broader loader compatibility

Browse files

Files changed (1) hide show

config.json +2 -5

config.json CHANGED Viewed

@@ -14,7 +14,6 @@
   "eos_token_id": 106,
   "image_token_id": 258880,
   "initializer_range": 0.02,
-  "model_name": "unsloth/gemma-4-31B-it",
   "model_type": "gemma4",
   "pad_token_id": 0,
   "text_config": {
@@ -128,9 +127,7 @@
     "vocab_size_per_layer_input": 262144
   },
   "tie_word_embeddings": true,
-  "transformers_version": "5.5.4",
-  "unsloth_fixed": true,
-  "unsloth_version": "2026.4.4",
   "video_token_id": 258884,
   "vision_config": {
     "_name_or_path": "",
@@ -176,4 +173,4 @@
     "use_clipped_linears": false
   },
   "vision_soft_tokens_per_image": 280
-}

   "eos_token_id": 106,
   "image_token_id": 258880,
   "initializer_range": 0.02,
   "model_type": "gemma4",
   "pad_token_id": 0,
   "text_config": {
     "vocab_size_per_layer_input": 262144
   },
   "tie_word_embeddings": true,
+  "transformers_version": "5.5.0",
   "video_token_id": 258884,
   "vision_config": {
     "_name_or_path": "",
     "use_clipped_linears": false
   },
   "vision_soft_tokens_per_image": 280
+}