Instructions to use deepconradlabs/conrad-nit-5.1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepconradlabs/conrad-nit-5.1-8B with Transformers:

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

pipe = pipeline("text-generation", model="deepconradlabs/conrad-nit-5.1-8B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("deepconradlabs/conrad-nit-5.1-8B")
model = AutoModelForMultimodalLM.from_pretrained("deepconradlabs/conrad-nit-5.1-8B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use deepconradlabs/conrad-nit-5.1-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepconradlabs/conrad-nit-5.1-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepconradlabs/conrad-nit-5.1-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/deepconradlabs/conrad-nit-5.1-8B

SGLang

How to use deepconradlabs/conrad-nit-5.1-8B 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 "deepconradlabs/conrad-nit-5.1-8B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepconradlabs/conrad-nit-5.1-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "deepconradlabs/conrad-nit-5.1-8B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepconradlabs/conrad-nit-5.1-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use deepconradlabs/conrad-nit-5.1-8B with Docker Model Runner:
```
docker model run hf.co/deepconradlabs/conrad-nit-5.1-8B
```

conrad-nit-5.1-8B / config.json

deepconradlabs

Fix model config for GPT2 checkpoint

135d327 4 days ago

raw

history blame contribute delete

369 Bytes

	{
	"model_type": "gpt2",
	"architectures": [
	"GPT2LMHeadModel"
	],
	"vocab_size": 50257,
	"n_positions": 1024,
	"n_ctx": 1024,
	"n_embd": 2,
	"n_layer": 2,
	"n_head": 2,
	"n_inner": 8,
	"activation_function": "gelu_new",
	"layer_norm_epsilon": 1e-5,
	"initializer_range": 0.02,
	"bos_token_id": 50256,
	"eos_token_id": 50256,
	"use_cache": true
	}