Instructions to use ApocalypseParty/G4-31B-Exp-1-ConfigB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ApocalypseParty/G4-31B-Exp-1-ConfigB with Transformers:

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

pipe = pipeline("image-text-to-text", model="ApocalypseParty/G4-31B-Exp-1-ConfigB")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("ApocalypseParty/G4-31B-Exp-1-ConfigB")
model = AutoModelForImageTextToText.from_pretrained("ApocalypseParty/G4-31B-Exp-1-ConfigB")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ApocalypseParty/G4-31B-Exp-1-ConfigB with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ApocalypseParty/G4-31B-Exp-1-ConfigB"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ApocalypseParty/G4-31B-Exp-1-ConfigB",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ApocalypseParty/G4-31B-Exp-1-ConfigB

SGLang

How to use ApocalypseParty/G4-31B-Exp-1-ConfigB 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 "ApocalypseParty/G4-31B-Exp-1-ConfigB" \
    --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": "ApocalypseParty/G4-31B-Exp-1-ConfigB",
		"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 "ApocalypseParty/G4-31B-Exp-1-ConfigB" \
        --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": "ApocalypseParty/G4-31B-Exp-1-ConfigB",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ApocalypseParty/G4-31B-Exp-1-ConfigB with Docker Model Runner:
```
docker model run hf.co/ApocalypseParty/G4-31B-Exp-1-ConfigB
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

ConfigB

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: zerofata/G4-MeroMero-31B
  - model: ApocalypseParty/G4-31B-Exp-1-1ep
merge_method: slerp
parameters:
  t: 0.5
base_model: zerofata/G4-MeroMero-31B
dtype: bfloat16

Downloads last month: -

Safetensors

Model size

31B params

Tensor type

BF16

Inference Providers NEW

Image-Text-to-Text

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for ApocalypseParty/G4-31B-Exp-1-ConfigB

ApocalypseParty/G4-31B-Exp-1-1ep

zerofata/G4-MeroMero-31B

Merge model

this model

Quantizations

1 model