Instructions to use Novaciano/1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Novaciano/1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Novaciano/1B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Novaciano/1B") model = AutoModelForCausalLM.from_pretrained("Novaciano/1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Novaciano/1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Novaciano/1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Novaciano/1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Novaciano/1B
- SGLang
How to use Novaciano/1B 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 "Novaciano/1B" \ --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": "Novaciano/1B", "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 "Novaciano/1B" \ --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": "Novaciano/1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Novaciano/1B with Docker Model Runner:
docker model run hf.co/Novaciano/1B
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Download README.md from Novaciano/1B: direct link, hf CLI and curl.
- Browser
- Download file 1.21 kB
-
https://huggingface.co/Novaciano/1B/resolve/main/README.md
- Command line
-
hf download hf://Novaciano/1B/README.md
-
curl -L -o README.md https://huggingface.co/Novaciano/1B/resolve/main/README.md
1.21 kB
metadata
base_model:
- UmbrellaInc/G-Virus.Injector-1B
- DrRiceIO7/gemma-3-1b-it-heretic
- UmbrellaInc/T-Virus.v3-1B
library_name: transformers
tags:
- mergekit
- merge
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Breadcrumbs merge method using UmbrellaInc/T-Virus.v3-1B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: breadcrumbs
base_model: UmbrellaInc/T-Virus.v3-1B
type: bfloat16
out_dtype: bfloat16
models:
- model: UmbrellaInc/G-Virus.Injector-1B
weight: 1.0
- model: DrRiceIO7/gemma-3-1b-it-heretic
weight: 1.0
parameters:
weight: [1.0, 1.0]
layer_start: 11
layer_end: 15
density: 0.28
normalize: true
rescale: false