Instructions to use wolfram/miquliz-120b-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wolfram/miquliz-120b-v2.0 with Transformers:

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

pipe = pipeline("text-generation", model="wolfram/miquliz-120b-v2.0")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("wolfram/miquliz-120b-v2.0")
model = AutoModelForCausalLM.from_pretrained("wolfram/miquliz-120b-v2.0", device_map="auto")
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 wolfram/miquliz-120b-v2.0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wolfram/miquliz-120b-v2.0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wolfram/miquliz-120b-v2.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/wolfram/miquliz-120b-v2.0

SGLang

How to use wolfram/miquliz-120b-v2.0 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 "wolfram/miquliz-120b-v2.0" \
    --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": "wolfram/miquliz-120b-v2.0",
		"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 "wolfram/miquliz-120b-v2.0" \
        --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": "wolfram/miquliz-120b-v2.0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use wolfram/miquliz-120b-v2.0 with Docker Model Runner:
```
docker model run hf.co/wolfram/miquliz-120b-v2.0
```

Strange observation: model becomes super horny in ST's MinP mode

by deleted - opened Mar 20, 2024

Discussion

deleted

Mar 20, 2024

•

This comment has been hidden

HellishGaming

Mar 21, 2024

What's your current MinP?

I have MinP set to 0.05

with a Smoothing Factor of 0.4

deleted

Mar 21, 2024

•

This comment has been hidden

wolfram

Owner Mar 24, 2024

Haven't heard of that and can't reproduce. What's the preset called, what version/quant are you using, and with which inference backend? Does it happen with different min_p values or just 0.1? Does it affect every character, is it reproducible with the default ones from SillyTavern like Aqua or Seraphina?

deleted

Mar 26, 2024

•

This comment has been hidden

wolfram

Owner Mar 27, 2024

Hmmm... I'm on the latest SillyTavern 1.11.6 and see no Text Completion preset named "MinP". Or do you mean the sampler setting "Min P"?

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