Instructions to use NeverSleep/Nethena-20B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NeverSleep/Nethena-20B with Transformers:

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

pipe = pipeline("text-generation", model="NeverSleep/Nethena-20B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NeverSleep/Nethena-20B")
model = AutoModelForCausalLM.from_pretrained("NeverSleep/Nethena-20B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use NeverSleep/Nethena-20B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NeverSleep/Nethena-20B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NeverSleep/Nethena-20B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NeverSleep/Nethena-20B

SGLang

How to use NeverSleep/Nethena-20B 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 "NeverSleep/Nethena-20B" \
    --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": "NeverSleep/Nethena-20B",
		"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 "NeverSleep/Nethena-20B" \
        --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": "NeverSleep/Nethena-20B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NeverSleep/Nethena-20B with Docker Model Runner:
```
docker model run hf.co/NeverSleep/Nethena-20B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

This model is a collab between IkariDev and Undi!

Nethena-20B model. Use Alpaca format. Suitable for RP, ERP and general stuff.

What would happen if we combine all of out best models? Well.. here it is, the holy grail: Echidna v0.3 + Athena v3 + Nete

This model also has a 13b version, you can check it out right here.

[Recommended settings - No settings yet(Please suggest some over in the Community tab!)]

Description

This repo contains fp16 files of Nethena-20B.

FP16 - by IkariDev and Undi

GGUF - by IkariDev and Undi

Ratings:

Note: We have permission of all users to upload their ratings, i DONT screenshot random reviews without asking if i can put them here!

No ratings yet!

If you want your rating to be here, send us a message over on DC and we'll put up a screenshot of it here. DC name is "ikaridev" and "undi".

Models+loras used and recipe

NeverSleep/Echidna-13b-v0.3
IkariDev/Athena-v3
Undi95/Nete-13B

Prompt template: Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:

Others

Undi: If you want to support me, you can here.

IkariDev: Visit my retro/neocities style website please kek

Downloads last month: 223

Safetensors

Model size

20B params

Tensor type

F16

Model tree for NeverSleep/Nethena-20B

Merges

1 model

Quantizations

6 models