Instructions to use Sao10K/L3.3-70B-Euryale-v2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sao10K/L3.3-70B-Euryale-v2.3 with Transformers:

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

pipe = pipeline("text-generation", model="Sao10K/L3.3-70B-Euryale-v2.3")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Sao10K/L3.3-70B-Euryale-v2.3")
model = AutoModelForCausalLM.from_pretrained("Sao10K/L3.3-70B-Euryale-v2.3")
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

vLLM

How to use Sao10K/L3.3-70B-Euryale-v2.3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sao10K/L3.3-70B-Euryale-v2.3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sao10K/L3.3-70B-Euryale-v2.3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Sao10K/L3.3-70B-Euryale-v2.3

SGLang

How to use Sao10K/L3.3-70B-Euryale-v2.3 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 "Sao10K/L3.3-70B-Euryale-v2.3" \
    --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": "Sao10K/L3.3-70B-Euryale-v2.3",
		"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 "Sao10K/L3.3-70B-Euryale-v2.3" \
        --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": "Sao10K/L3.3-70B-Euryale-v2.3",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Sao10K/L3.3-70B-Euryale-v2.3 with Docker Model Runner:
```
docker model run hf.co/Sao10K/L3.3-70B-Euryale-v2.3
```

Request

by Skorcht - opened Dec 8, 2024

Discussion

Skorcht

Dec 8, 2024

Can you make a model that can play a role and talk as someone online? Like a discord user but without roleplay strings.. Also do you think you could train a model to obey instructions in the user prompt not system prompt? maybe there same thing i havent trained models so i do not really understand. The issue i also have is models sometimes talk alot especially models like nemo they just ramble on and on. If you could make a 8 - 14b model finetune with these attributes i would greatly appreciate it. God speed!

GhostGate

Dec 9, 2024

I am confused, you want a model that can talk like a discord user, or similar IRC chat. Why not just use L3.1 8b with system prompt that points that this is a regular internet reply style chat? I doubt you need a 70b model for that kind of stuff.

indorilml

Dec 9, 2024

To be honest, I do understand what @Skorcht means. I've had some success with doing what @GhostGate suggested but it always kinda falls apart relatively easily. Most apps/services aren't too great at it either imo. There's one called AI Peeps which does ok but is kinda shallow. Only service I've found that does a surprisingly good job is AtheneGPT. I guess they have some sort of very uniquely finetuned big model for it cause I haven't been able to reproduce a consistent and immersive experience to that extent anywhere else.

Sao10K

Owner Dec 9, 2024

Can you make a model that can play a role and talk as someone online? Like a discord user but without roleplay strings..
Yeah? pretty easily if you have human data. tradeoff will always be intelligence. Most human data is not 'smart'. It'll talk like a person sure, but it will be dumber than other models.

Also do you think you could train a model to obey instructions in the user prompt not system prompt? maybe there same thing i havent trained models so i do not really understand.
Instruct Following? I have that pipeline. Not obeying system prompt would be a problem though. Pretty easily achievable for bigger models, tougher on smaller ones.

The issue i also have is models sometimes talk alot especially models like nemo they just ramble on and on.
Guided generation / grammar helps with this. Also example messages help reinforce message length and all.

so, maybe. not confirmed though

Andrewwwwww

Dec 11, 2024

Trying to run tells me that the word breaker is broken, am I the only one that has this error?

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