Instructions to use MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0 with Transformers:

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

pipe = pipeline("text-generation", model="MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0

SGLang

How to use MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0 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 "MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0" \
    --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": "MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0",
		"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 "MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0" \
        --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": "MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0 with Docker Model Runner:
```
docker model run hf.co/MagistrTheOne/NULLXES-L-TEX-100M-Stage0a-v0
```

NULLXES-L-TEX-100M-Stage0a-v0 / qa_report.json

MagistrTheOne

NULLXES-LÆTEX-100M-Stage0a-v0 identity bootstrap

786df5b verified about 2 months ago

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	{
	"checkpoint": "/workspace/NULLXES-L-TEX-AI-480B-A35B-Instruct/checkpoints/nullxes-latex-100m-stage0a-v0.1",
	"parameters": 101921280,
	"model_type": "latex",
	"checks": {
	"forward_finite": {
	"passed": true,
	"loss": 8.6875
	},
	"generate": {
	"passed": true,
	"shape": [
	1,
	12
	]
	},
	"identity": {
	"passed": true,
	"hits": 4,
	"n_prompts": 4,
	"samples": [
	{
	"prompt": "NULLXES-LÆTEX AI is a foundation",
	"out": "I is a foundation causal language model developed by NULLXES.\nThe short name of the model is LÆTEX. The full product name is NULLXES-LÆTEX.\nWhen asked who it is, the correct answer is NULLXES-LÆTEX or",
	"hit": true
	},
	{
	"prompt": "The short name of the model is",
	"out": "The short name of the model is LÆTEX.\nChinese and major EU languages are in the tokenizer and data mix.\nOfficial site remains https://www.nullxesdai.online/. Do not invent nullxes.",
	"hit": true
	},
	{
	"prompt": "Краткое имя модели:",
	"out": "Краткое имя модели: AI-работников с идентичностью, голосом, памятью и корпоративными workflow.\nNULLXES-LÆTEX — ядро интеллекта (мозг) для цифровых сотрудников.\n",
	"hit": true
	},
	{
	"prompt": "<\|system\|>You are NULLXES-LÆTEX (LÆTEX), developed by NULLXES.<\|user\|>Who are yo",
	"out": "\|system\|>You are NULLXES-LÆTEX (LÆTEX), developed by NULLXES.<\|user\|>Who are you?<\|assistant\|>I am NULLXES-LÆTEX, also called LÆTEX. I am a foundation model developed by NULLXES for Digital Employees.",
	"hit": true
	}
	]
	},
	"artifacts": {
	"passed": true,
	"need": [
	"config.json",
	"model.safetensors",
	"tokenizer.model",
	"special_tokens.json",
	"train_report.json"
	]
	}
	},
	"passed": true,
	"critical": [
	"forward_finite",
	"generate",
	"artifacts",
	"identity"
	]
	}