Instructions to use Aeala/Enterredaas-33b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Aeala/Enterredaas-33b with Transformers:

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

pipe = pipeline("text-generation", model="Aeala/Enterredaas-33b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Aeala/Enterredaas-33b")
model = AutoModelForCausalLM.from_pretrained("Aeala/Enterredaas-33b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Aeala/Enterredaas-33b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Aeala/Enterredaas-33b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Aeala/Enterredaas-33b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Aeala/Enterredaas-33b

SGLang

How to use Aeala/Enterredaas-33b 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 "Aeala/Enterredaas-33b" \
    --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": "Aeala/Enterredaas-33b",
		"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 "Aeala/Enterredaas-33b" \
        --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": "Aeala/Enterredaas-33b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Aeala/Enterredaas-33b with Docker Model Runner:
```
docker model run hf.co/Aeala/Enterredaas-33b
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Merge of Enterredaas-33b QLoRA

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	50.52
ARC (25-shot)	60.92
HellaSwag (10-shot)	84.18
MMLU (5-shot)	58.3
TruthfulQA (0-shot)	49.02
Winogrande (5-shot)	78.77
GSM8K (5-shot)	16.22
DROP (3-shot)	6.23

Downloads last month: 1,107

Safetensors

Model size

33B params

Tensor type

F32

F16

Model tree for Aeala/Enterredaas-33b

Quantizations

2 models

Aeala
/

Enterredaas-33b

Open LLM Leaderboard Evaluation Results

Model tree for Aeala/Enterredaas-33b

Spaces using Aeala/Enterredaas-33b 29