Instructions to use Tonit23/antonio-phi2-bitagent-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Tonit23/antonio-phi2-bitagent-merged with Transformers:

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

pipe = pipeline("text-generation", model="Tonit23/antonio-phi2-bitagent-merged")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Tonit23/antonio-phi2-bitagent-merged")
model = AutoModelForCausalLM.from_pretrained("Tonit23/antonio-phi2-bitagent-merged")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Tonit23/antonio-phi2-bitagent-merged with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Tonit23/antonio-phi2-bitagent-merged"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Tonit23/antonio-phi2-bitagent-merged",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Tonit23/antonio-phi2-bitagent-merged

SGLang

How to use Tonit23/antonio-phi2-bitagent-merged 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 "Tonit23/antonio-phi2-bitagent-merged" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Tonit23/antonio-phi2-bitagent-merged",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "Tonit23/antonio-phi2-bitagent-merged" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Tonit23/antonio-phi2-bitagent-merged",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Tonit23/antonio-phi2-bitagent-merged with Docker Model Runner:
```
docker model run hf.co/Tonit23/antonio-phi2-bitagent-merged
```

Tonit23 commited on Oct 29, 2025

Commit

df74b25

1 Parent(s): 8bb8895

Actualizo README.md del modelo

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README.md +21 -0

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+---
+pipeline_tag: text-generation
+license: mit
+language:
+  - es
+  - en
+tags:
+  - tool-calling
+  - lora
+  - bfcl
+base_model: microsoft/phi-2
+---
+# Antonio Phi-2 BitAgent Merged
+Este modelo es una versión **fusionada (merged)** del fine-tune LoRA
+[`Tonit23/antonio-phi2-bitagent-lora`](https://huggingface.co/Tonit23/antonio-phi2-bitagent-lora)
+con el modelo base [`microsoft/phi-2`](https://huggingface.co/microsoft/phi-2).
+Optimizado para la **Subnet 20 de Bittensor (BitAgent)**
+y preparado para tareas de *tool-calling* e interacción en español e inglés.