Instructions to use DrRiceIO7/mergedtest-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DrRiceIO7/mergedtest-2 with Transformers:

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

pipe = pipeline("text-generation", model="DrRiceIO7/mergedtest-2")
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, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("DrRiceIO7/mergedtest-2")
model = AutoModelForMultimodalLM.from_pretrained("DrRiceIO7/mergedtest-2", device_map="auto")
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 DrRiceIO7/mergedtest-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DrRiceIO7/mergedtest-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DrRiceIO7/mergedtest-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DrRiceIO7/mergedtest-2

SGLang

How to use DrRiceIO7/mergedtest-2 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 "DrRiceIO7/mergedtest-2" \
    --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": "DrRiceIO7/mergedtest-2",
		"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 "DrRiceIO7/mergedtest-2" \
        --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": "DrRiceIO7/mergedtest-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use DrRiceIO7/mergedtest-2 with Docker Model Runner:
```
docker model run hf.co/DrRiceIO7/mergedtest-2
```

DrRiceIO7 commited on Dec 2, 2025

Commit

eac88a7

verified ·

1 Parent(s): 81c3298

Update README.md

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README.md +37 -38

README.md CHANGED Viewed

@@ -1,38 +1,37 @@
----
-base_model: []
-library_name: transformers
-tags:
-- mergekit
-- merge
----
-# final_gemma
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-## Merge Details
-### Merge Method
-This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
-### Models Merged
-The following models were included in the merge:
-* ./merged_final
-* ./other_gemma
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-# config_redo.yaml
-models:
-  - model: ./merged_final
-  - model: ./other_gemma
-merge_method: slerp
-base_model: ./merged_final
-parameters:
-  t: 0.5
-dtype: bfloat16
-```

+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+pipeline_tag: text-generation
+---
+# final_gemma
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+## Merge Details
+### Merge Method
+This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
+### Models Merged
+The following models were included in the merge:
+* ./merged_final
+* ./other_gemma
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+# config_redo.yaml
+models:
+  - model: ./merged_final
+  - model: ./other_gemma
+merge_method: slerp
+base_model: ./merged_final
+parameters:
+  t: 0.5
+dtype: bfloat16
+```