Instructions to use matchaaaaa/Testarossa-v1-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use matchaaaaa/Testarossa-v1-27B with Transformers:

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

pipe = pipeline("text-generation", model="matchaaaaa/Testarossa-v1-27B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("matchaaaaa/Testarossa-v1-27B")
model = AutoModelForCausalLM.from_pretrained("matchaaaaa/Testarossa-v1-27B")
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 matchaaaaa/Testarossa-v1-27B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "matchaaaaa/Testarossa-v1-27B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "matchaaaaa/Testarossa-v1-27B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/matchaaaaa/Testarossa-v1-27B

SGLang

How to use matchaaaaa/Testarossa-v1-27B 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 "matchaaaaa/Testarossa-v1-27B" \
    --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": "matchaaaaa/Testarossa-v1-27B",
		"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 "matchaaaaa/Testarossa-v1-27B" \
        --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": "matchaaaaa/Testarossa-v1-27B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use matchaaaaa/Testarossa-v1-27B with Docker Model Runner:
```
docker model run hf.co/matchaaaaa/Testarossa-v1-27B
```

Rope for 32k

by GhostGate - opened Nov 25, 2024

Discussion

GhostGate

Nov 25, 2024

Hi!

I was just wondering if I can extend the model with RoPE at 32k and still maintain good coherence. I saw that you said we can extend to 16k. Would that be the limit to RoPE and maintain good reasoning and coherence?

matchaaaaa

Owner Nov 26, 2024

Hi @GhostGate !

The model isn't even reliably hitting 16K, as I was testing earlier today and it totally broke down. I may have to remove that claim from the readme.

Even if it did reliably hit 16K, my gut reaction is that 32K would be too much of a stretch. In my testing with Mistrals, the most you could RoPE from 8K native context was 24K. Of course, Mistral 7B is old now, things have changed, and Gemma is a totally different animal.

TL;DR: 15~16K is the limit. Sorry.

Have a nice day! :)

GhostGate

Nov 26, 2024

•

edited Nov 26, 2024

Hi @matchaaaaa !

Thank you so much for the reply :) Sorry if it was a silly question, I am trying to ascertain what is the limit of different models, since I am trying to gather a list of models for RP, which I would like to do a proper test and review. I gotten really annoyed with people commenting about the quality of models based on half-assed character cards, bad instructions and horrendous pre-sets. I never tried Gemma 2, but I think I will try your model and give you an honest feedback, if you are interested of course.

EDIT: Have an epic day as well :D

matchaaaaa

Owner Nov 27, 2024

Hi @GhostGate !

That's not a silly question!

I would love that! Honest feedback as well as that list (when it's ready) would be phenomenal. I have been saying for a long time that the community needs something like what you're putting together. I'm also interested in helping some if you're open to that.

Best of luck either way, and have a lovely day! (Woah, it rhymed) :D

GhostGate

Nov 27, 2024

Hi!

I would love to get some help :) If you would like, I could get in touch with you somewhere where it's more convenient and talk.

matchaaaaa

Owner Nov 28, 2024

@GhostGate ,

@matchaspeed on Discord is the easiest way to get ahold of me. Shoot me a message!

Have a wonderful day! :3

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