Instructions to use N8Programs/BestTerm-440M-Checkpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use N8Programs/BestTerm-440M-Checkpts with Transformers:

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

pipe = pipeline("text-generation", model="N8Programs/BestTerm-440M-Checkpts")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("N8Programs/BestTerm-440M-Checkpts")
model = AutoModelForCausalLM.from_pretrained("N8Programs/BestTerm-440M-Checkpts")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use N8Programs/BestTerm-440M-Checkpts with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "N8Programs/BestTerm-440M-Checkpts"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "N8Programs/BestTerm-440M-Checkpts",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/N8Programs/BestTerm-440M-Checkpts

SGLang

How to use N8Programs/BestTerm-440M-Checkpts 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 "N8Programs/BestTerm-440M-Checkpts" \
    --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": "N8Programs/BestTerm-440M-Checkpts",
		"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 "N8Programs/BestTerm-440M-Checkpts" \
        --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": "N8Programs/BestTerm-440M-Checkpts",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use N8Programs/BestTerm-440M-Checkpts with Docker Model Runner:
```
docker model run hf.co/N8Programs/BestTerm-440M-Checkpts
```

BestTerm-440M-Checkpts / tokenizer.json

N8Programs

Upload tentative BestTerm-440M checkpoint

136c9c9 verified about 12 hours ago

Raw

History Blame Contribute Delete

2.74 kB

	{
	"version": "1.0",
	"truncation": null,
	"padding": null,
	"added_tokens": [
	{
	"id": 12,
	"content": "<bos>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	{
	"id": 13,
	"content": "<eos>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	{
	"id": 14,
	"content": "<pad>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	{
	"id": 15,
	"content": "<unused>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	}
	],
	"normalizer": {
	"type": "Sequence",
	"normalizers": [
	{
	"type": "Replace",
	"pattern": {
	"Regex": "[^0-9,-]+"
	},
	"content": ""
	},
	{
	"type": "Replace",
	"pattern": {
	"Regex": ",+"
	},
	"content": ","
	},
	{
	"type": "Strip",
	"strip_left": true,
	"strip_right": true
	},
	{
	"type": "Replace",
	"pattern": {
	"Regex": "^,+"
	},
	"content": ""
	},
	{ "type": "Replace", "pattern": { "Regex": ",{2,}$" }, "content": "," }
	]
	},
	"pre_tokenizer": {
	"type": "Split",
	"pattern": {
	"Regex": ""
	},
	"behavior": "Isolated",
	"invert": false
	},
	"post_processor": {
	"type": "TemplateProcessing",
	"single": [
	{
	"SpecialToken": {
	"id": "<bos>",
	"type_id": 0
	}
	},
	{
	"Sequence": {
	"id": "A",
	"type_id": 0
	}
	}
	],
	"pair": [
	{
	"Sequence": {
	"id": "A",
	"type_id": 0
	}
	},
	{
	"Sequence": {
	"id": "B",
	"type_id": 1
	}
	}
	],
	"special_tokens": {
	"<bos>": {
	"id": "<bos>",
	"ids": [
	12
	],
	"tokens": [
	"<bos>"
	]
	}
	}
	},
	"decoder": {
	"type": "Sequence",
	"decoders": [
	{
	"type": "Replace",
	"pattern": {
	"String": " "
	},
	"content": ""
	}
	]
	},
	"model": {
	"type": "WordLevel",
	"vocab": {
	"0": 0,
	"1": 1,
	"2": 2,
	"3": 3,
	"4": 4,
	"5": 5,
	"6": 6,
	"7": 7,
	"8": 8,
	"9": 9,
	"-": 10,
	",": 11,
	"<bos>": 12,
	"<eos>": 13,
	"<pad>": 14,
	"<unused>": 15
	},
	"unk_token": "<pad>"
	}
	}