Instructions to use G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b with Transformers:

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

pipe = pipeline("text-generation", model="G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b")
model = AutoModelForCausalLM.from_pretrained("G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b

SGLang

How to use G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b 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 "G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b" \
    --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": "G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b",
		"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 "G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b" \
        --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": "G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b with Docker Model Runner:
```
docker model run hf.co/G-reen/gpt5o-reflexion-q-agi-llama-3.1-8b
```

Insane breakthrough

#12

by Zuccx - opened Sep 15, 2024

Discussion

Zuccx

Sep 15, 2024

Why is nobody talking about this ??? This is the biggest breakthrough since the creation of humanity !! ClosedAI should be very worried
How even will Google DeepMind react to this ?? This is unreal

Smorty100

Sep 17, 2024

It's actually insane. This small little model which runs on my old PC is THIS GOOD!?!? And I thought llama 3.1 was good, NAW! This one's crazy. Literally got me a job.

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