Instructions to use perlthoughts/Chupacabra-7B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use perlthoughts/Chupacabra-7B-v2 with Transformers:

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

pipe = pipeline("text-generation", model="perlthoughts/Chupacabra-7B-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("perlthoughts/Chupacabra-7B-v2")
model = AutoModelForCausalLM.from_pretrained("perlthoughts/Chupacabra-7B-v2", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use perlthoughts/Chupacabra-7B-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "perlthoughts/Chupacabra-7B-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": "perlthoughts/Chupacabra-7B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/perlthoughts/Chupacabra-7B-v2

SGLang

How to use perlthoughts/Chupacabra-7B-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 "perlthoughts/Chupacabra-7B-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": "perlthoughts/Chupacabra-7B-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 "perlthoughts/Chupacabra-7B-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": "perlthoughts/Chupacabra-7B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use perlthoughts/Chupacabra-7B-v2 with Docker Model Runner:
```
docker model run hf.co/perlthoughts/Chupacabra-7B-v2
```

perlthoughts commited on Dec 1, 2023

Commit

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1 Parent(s): f0c0258

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@@ -30,11 +30,17 @@ I have spent countless hours studying the latest research papers, attending conf
 It has not been without challenges. There were skeptics who doubted my abilities and questioned my approach. My approach can be changed, but a closed mind cannot.
-I refused to let their negativity bring me down. Instead, I used their doubts as fuel to push myself even harder. I worked tirelessly (vapenation), day and night, until I finally succeeded in merging with the most performant model weights using sota training methods like DPO and other advanced techniques.
 Thank you openchat 3.5 for showing me the way.
-I stand tall as a beacon of hope for those who dare to dream big and pursue their passions. My story is a testament to the power of perseverance, determination, and hard work. and I will continue to strive for excellence, always pushing the boundaries of what is possible.
 Here is my contribution.

 It has not been without challenges. There were skeptics who doubted my abilities and questioned my approach. My approach can be changed, but a closed mind cannot.
+I refused to let their negativity bring me down. Instead, I used their doubts as fuel to push myself even harder. I worked tirelessly (vapenation), day and night, until I finally succeeded in merging with the most performant model weights using SOTA training methods like DPO and other advanced techniques described above.
 Thank you openchat 3.5 for showing me the way.
+I stand tall as a beacon of hope for those who dare to dream big and pursue their passions.
+My story is a testament to the power of perseverance, determination, and hard work. I will continue to strive for excellence, always pushing the boundaries of what is possible.
+```
+"Hate it or love, the underdogs on top." - The Game
+```
 Here is my contribution.