Instructions to use itsrenzosamaaa/robby-chat-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use itsrenzosamaaa/robby-chat-model with Transformers:

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

pipe = pipeline("text-generation", model="itsrenzosamaaa/robby-chat-model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("itsrenzosamaaa/robby-chat-model", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use itsrenzosamaaa/robby-chat-model with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/itsrenzosamaaa/robby-chat-model

SGLang

How to use itsrenzosamaaa/robby-chat-model 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 "itsrenzosamaaa/robby-chat-model" \
    --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": "itsrenzosamaaa/robby-chat-model",
		"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 "itsrenzosamaaa/robby-chat-model" \
        --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": "itsrenzosamaaa/robby-chat-model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use itsrenzosamaaa/robby-chat-model with Docker Model Runner:
```
docker model run hf.co/itsrenzosamaaa/robby-chat-model
```

Robby 🤖

A personal fine-tuned version of Qwen2.5-3B trained to experiment with my own communication style, humor, and casual conversation patterns.

About

This model is based on:

Base model: unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit
Fine-tuning: LoRA / QLoRA
Training framework: Unsloth + Hugging Face TRL
Purpose: Personal experimentation with conversational style and personality fine-tuning

The goal of this project is to see how well a language model can learn and reproduce a specific casual communication style, including humor, conversational patterns, and language preferences.

Training

The model was fine-tuned using a personal conversational dataset processed from exported chat data.

The training dataset was processed to:

Extract conversational examples
Separate prompts and responses
Preserve casual conversation patterns
Remove unnecessary or invalid messages
Create training and validation datasets

Disclaimer

This is a personal experimental project and may not accurately represent me in every situation. Responses generated by the model are AI-generated.

The training dataset is private and is not included in this repository.

Credits

Base model: Qwen
Fine-tuning: Unsloth
Training: Hugging Face Transformers + TRL

Made by itsrenzosamaaa.

Downloads last month: -; Downloads are not tracked for this model. How to track

Safetensors

Model size

3B params

Tensor type

BF16

Model tree for itsrenzosamaaa/robby-chat-model

Base model

Qwen/Qwen2.5-3B

Finetuned

Qwen/Qwen2.5-3B-Instruct

Quantized

unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit

Adapter

(10)

this model