Instructions to use Danielbrdz/Barcenas-8b-Cartas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Danielbrdz/Barcenas-8b-Cartas with Transformers:

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

pipe = pipeline("text-generation", model="Danielbrdz/Barcenas-8b-Cartas")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Danielbrdz/Barcenas-8b-Cartas")
model = AutoModelForCausalLM.from_pretrained("Danielbrdz/Barcenas-8b-Cartas")
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 Danielbrdz/Barcenas-8b-Cartas with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Danielbrdz/Barcenas-8b-Cartas"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Danielbrdz/Barcenas-8b-Cartas",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Danielbrdz/Barcenas-8b-Cartas

SGLang

How to use Danielbrdz/Barcenas-8b-Cartas 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 "Danielbrdz/Barcenas-8b-Cartas" \
    --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": "Danielbrdz/Barcenas-8b-Cartas",
		"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 "Danielbrdz/Barcenas-8b-Cartas" \
        --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": "Danielbrdz/Barcenas-8b-Cartas",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Danielbrdz/Barcenas-8b-Cartas with Docker Model Runner:
```
docker model run hf.co/Danielbrdz/Barcenas-8b-Cartas
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Barcenas 8b Cartas

Modelo basado en el NousResearch/Meta-Llama-3.1-8B-Instruct y entrenado con datos de Danielbrdz/Barcenas-Cartas

Este modelo tiene el objetivo de hacer cartas tengan profundidad y sentimientos, como si un humano experto lo haría.

El LLM puede hacer cartas con diversos sentimientos y de calidad de escritura alta.

Barcenas 8b Cartas

Model based on the NousResearch/Meta-Llama-3.1-8B-Instruct and trained with data from Danielbrdz/Barcenas-Cartas

This model aims to make letters have depth and feelings, as if an expert human would do it.

The LLM can make letters with different feelings and of high writing quality.

Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽

Downloads last month: 2

Safetensors

Model size

8B params

Tensor type

F16

Model tree for Danielbrdz/Barcenas-8b-Cartas

Quantizations

1 model

Dataset used to train Danielbrdz/Barcenas-8b-Cartas

Collection including Danielbrdz/Barcenas-8b-Cartas

Barcenas Cartas y Compresión Barcenas

Collection

5 items • Updated Sep 23, 2025 • 1