Instructions to use Sorihon/Experimental-Resonance-24B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sorihon/Experimental-Resonance-24B with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Sorihon/Experimental-Resonance-24B")
model = AutoModelForCausalLM.from_pretrained("Sorihon/Experimental-Resonance-24B")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Sorihon/Experimental-Resonance-24B with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Sorihon/Experimental-Resonance-24B

SGLang

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

Docker Model Runner
How to use Sorihon/Experimental-Resonance-24B with Docker Model Runner:
```
docker model run hf.co/Sorihon/Experimental-Resonance-24B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Experimental-Resonance-24B

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

Merge Details

Merge Method

This model was merged using the Karcher Mean merge method.

Models Merged

The following models were included in the merge:

/home/sorihon/Documents/CYMADO
/home/sorihon/Documents/WBREI

(CYMADO)

TheDrummer/Cydonia-24B-v4.3
TheDrummer/Magidonia-24B-v4.3
Casual-Autopsy/Maginum-Cydoms-24B

(WBREI - Broken Merge, this is where the experimental part of the model name comes from, however combining it with CYMADO seemed to have fixed it.)
model: Delta-Vector/Austral-24B-Winton
model: ReadyArt/4.2.0-Broken-Tutu-24b
model: Delta-Vector/Rei-24B-KTO

(used karcher for all model groups.)

Configuration

The following YAML configuration was used to produce this model:

 models:
  - model: /home/sorihon/Documents/CYMADO
  - model: /home/sorihon/Documents/WBREI
 merge_method: karcher
 parameters:
    max_iter: 100
    tol: 1.0e-9
 dtype: bfloat16
 tokenizer: 
   source: union

Downloads last month: 17

Safetensors

Model size

24B params

Tensor type

BF16

Model tree for Sorihon/Experimental-Resonance-24B

Quantizations

2 models