Instructions to use Fizzarolli/L3.1-70b-glitz-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Fizzarolli/L3.1-70b-glitz-v0.2 with Transformers:

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

pipe = pipeline("text-generation", model="Fizzarolli/L3.1-70b-glitz-v0.2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Fizzarolli/L3.1-70b-glitz-v0.2")
model = AutoModelForCausalLM.from_pretrained("Fizzarolli/L3.1-70b-glitz-v0.2")
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 Settings

vLLM

How to use Fizzarolli/L3.1-70b-glitz-v0.2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Fizzarolli/L3.1-70b-glitz-v0.2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Fizzarolli/L3.1-70b-glitz-v0.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Fizzarolli/L3.1-70b-glitz-v0.2

SGLang

How to use Fizzarolli/L3.1-70b-glitz-v0.2 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 "Fizzarolli/L3.1-70b-glitz-v0.2" \
    --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": "Fizzarolli/L3.1-70b-glitz-v0.2",
		"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 "Fizzarolli/L3.1-70b-glitz-v0.2" \
        --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": "Fizzarolli/L3.1-70b-glitz-v0.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Fizzarolli/L3.1-70b-glitz-v0.2 with Docker Model Runner:
```
docker model run hf.co/Fizzarolli/L3.1-70b-glitz-v0.2
```

Fizzarolli commited on Aug 3, 2024

Commit

a2d89c8

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1 Parent(s): cebc07e

Update README.md

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@@ -12,12 +12,12 @@ tags:
     margin-bottom: 0;
   }
 </style>
-# Glitz v0.2
 ![](https://cdn-uploads.huggingface.co/production/uploads/634262af8d8089ebaefd410e/q2dOUnzc1GRbZp3YfzGXB.png)
 <small>art by spindlehorse toons. i do not own this image. all credit goes to them!</small>
-*compute sponsored by [ShuttleAI](https://shuttleai.app)*
 ## details
 this is an experimental l3.1 70b finetuning run... that crashed midway through. however, the results are still interesting, so i wanted to publish them :3

     margin-bottom: 0;
   }
 </style>
+# Glitz v0.2 ✨💅
 ![](https://cdn-uploads.huggingface.co/production/uploads/634262af8d8089ebaefd410e/q2dOUnzc1GRbZp3YfzGXB.png)
 <small>art by spindlehorse toons. i do not own this image. all credit goes to them!</small>
+***compute sponsored by [ShuttleAI](https://shuttleai.app)***
 ## details
 this is an experimental l3.1 70b finetuning run... that crashed midway through. however, the results are still interesting, so i wanted to publish them :3