Instructions to use DarkArtsForge/Asmodeus-24B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DarkArtsForge/Asmodeus-24B-v2 with Transformers:

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

pipe = pipeline("text-generation", model="DarkArtsForge/Asmodeus-24B-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DarkArtsForge/Asmodeus-24B-v2")
model = AutoModelForCausalLM.from_pretrained("DarkArtsForge/Asmodeus-24B-v2")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use DarkArtsForge/Asmodeus-24B-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DarkArtsForge/Asmodeus-24B-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DarkArtsForge/Asmodeus-24B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DarkArtsForge/Asmodeus-24B-v2

SGLang

How to use DarkArtsForge/Asmodeus-24B-v2 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 "DarkArtsForge/Asmodeus-24B-v2" \
    --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": "DarkArtsForge/Asmodeus-24B-v2",
		"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 "DarkArtsForge/Asmodeus-24B-v2" \
        --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": "DarkArtsForge/Asmodeus-24B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use DarkArtsForge/Asmodeus-24B-v2 with Docker Model Runner:
```
docker model run hf.co/DarkArtsForge/Asmodeus-24B-v2
```

Error with MLX

by ailexleon - opened Mar 21

Discussion

ailexleon

Mar 21

Hi, just FYI.
I converted Asmodeus v2 to MLX format using mlx-my-repo. But when when I try to load the model, I receive the following error:

Error when loading model: TypeError: transformers.tokenization_utils_tokenizers.TokenizersBackend._patch_mistral_regex() got multiple values for keyword argument 'fix_mistral_regex'

So I tried converting it locally on my Mac with a newer version of mlx-lm. The conversion fails with the same error.

Naphula

DarkArtsForge org Mar 21

I'm not sure, on Windows it ignored this error when quantizing to GGUF. Maybe @McG-221 can help since he has somehow converted this to mlx.

https://huggingface.co/McG-221/Asmodeus-24B-v2-mlx-8Bit

McG-221

Mar 21

Hi, I also used mlx-my-repo. This space is notorious for its little quirks, maybe they were working on it at the time you tried?

ailexleon

Mar 21

•

edited Mar 21

mly-my-repo did the conversion for me, but the model won't load, so I deleted the repo.

@McG-221 I tried loading your McG-221/Asmodeus-24B-v2-mlx-8Bit but I get the same error, in LMStudio and mlx_lm as well.
Did you load and use it successfully yet?

McG-221

Mar 21

@ailexleon I now also did a 4-bit MLX using mlx-my-repo, you can find it here McG-221/Asmodeus-24B-v2-mlx-4Bit ✌️

McG-221

Mar 21

Sorry, didn't have time to download it yet... maybe tonight (my time). Will let you know!

McG-221

Mar 21

•

edited Mar 21

@ailexleon @Naphula The solution: in the file tokenizer_config.json you have to delete the whole line with fix_mistral_regex in it, so key and value have to go. After that, it works.

Edit: I updated the file in my 8-bit quant. Just use it, if you want...

ailexleon

Mar 21

Great, thanks!

ailexleon changed discussion status to closed Mar 21

Naphula

DarkArtsForge org Mar 22

I changed the line from false to true and the error disappeared on my end. This should have no effect whether you set to true or delete the line, as the regex fix is only applied to 12B Nemo models that use chatML.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment