Instructions to use positron-ai/Llama-3.1-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use positron-ai/Llama-3.1-8B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="positron-ai/Llama-3.1-8B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("positron-ai/Llama-3.1-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained("positron-ai/Llama-3.1-8B-Instruct", 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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use positron-ai/Llama-3.1-8B-Instruct with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/positron-ai/Llama-3.1-8B-Instruct

SGLang

How to use positron-ai/Llama-3.1-8B-Instruct 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 "positron-ai/Llama-3.1-8B-Instruct" \
    --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": "positron-ai/Llama-3.1-8B-Instruct",
		"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 "positron-ai/Llama-3.1-8B-Instruct" \
        --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": "positron-ai/Llama-3.1-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use positron-ai/Llama-3.1-8B-Instruct with Docker Model Runner:
```
docker model run hf.co/positron-ai/Llama-3.1-8B-Instruct
```

Llama-3.1-8B-Instruct (unmodified redistribution)

Built with Llama.

This is an unmodified redistribution of meta-llama/Llama-3.1-8B-Instruct at upstream commit 0e9e39f249a16976918f6564b8830bc894c89659. Weights, tokenizer, and configuration files are byte-identical to that commit (SHA256s below); only this README and the NOTICE file were added.

Positron AI redistributes this snapshot as the pinned source for the GPTQ quantizations it publishes under the positron-ai organization.

Model documentation, evaluations, and responsible-use guidance: see Meta's original model card linked above.

Provenance

file	sha256
model-00001-of-00004.safetensors	2b1879f356aed350030bb40eb45ad362c89d9891096f79a3ab323d3ba5607668
model-00002-of-00004.safetensors	09d433f650646834a83c580877bd60c6d1f88f7755305c12576b5c7058f9af15
model-00003-of-00004.safetensors	fc1cdddd6bfa91128d6e94ee73d0ce62bfcdb7af29e978ddcab30c66ae9ea7fa
model-00004-of-00004.safetensors	92ecfe1a2414458b4821ac8c13cf8cb70aed66b5eea8dc5ad9eeb4ff309d6d7b

License

Use of this model is governed by the Llama 3.1 Community License Agreement and Meta's Acceptable Use Policy, both included in this repository. See NOTICE. All model documentation, benchmarks, and responsible-use guidance are at the upstream model card linked above.

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Safetensors

Model size

8B params

Tensor type

BF16

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