Instructions to use Kryptone/monikAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kryptone/monikAI with Transformers:

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

pipe = pipeline("text-generation", model="Kryptone/monikAI")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Kryptone/monikAI")
model = AutoModelForCausalLM.from_pretrained("Kryptone/monikAI")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Kryptone/monikAI with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Kryptone/monikAI

SGLang

How to use Kryptone/monikAI 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 "Kryptone/monikAI" \
    --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": "Kryptone/monikAI",
		"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 "Kryptone/monikAI" \
        --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": "Kryptone/monikAI",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Kryptone/monikAI with Docker Model Runner:
```
docker model run hf.co/Kryptone/monikAI
```

monikAI / config.json

Kryptone

Initial Commit

1e62c7c over 4 years ago

raw

history blame

860 Bytes

	{
	"_name_or_path": "microsoft/DialoGPT-medium",
	"activation_function": "gelu_new",
	"architectures": [
	"GPT2LMHeadModel"
	],
	"attn_pdrop": 0.1,
	"bos_token_id": 50256,
	"embd_pdrop": 0.1,
	"eos_token_id": 50256,
	"gradient_checkpointing": false,
	"initializer_range": 0.02,
	"layer_norm_epsilon": 1e-05,
	"model_type": "gpt2",
	"n_ctx": 1024,
	"n_embd": 1024,
	"n_head": 16,
	"n_inner": null,
	"n_layer": 24,
	"n_positions": 1024,
	"resid_pdrop": 0.1,
	"scale_attn_weights": true,
	"summary_activation": null,
	"summary_first_dropout": 0.1,
	"summary_proj_to_labels": true,
	"summary_type": "cls_index",
	"summary_use_proj": true,
	"task_specific_params": {
	"conversational": {
	"max_length": 1000
	}
	},
	"torch_dtype": "float32",
	"transformers_version": "4.10.0",
	"use_cache": true,
	"vocab_size": 50257
	}