Instructions to use thoratsr7/North-Mini-Code-1.0-w4a16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use thoratsr7/North-Mini-Code-1.0-w4a16 with Transformers:

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

pipe = pipeline("text-generation", model="thoratsr7/North-Mini-Code-1.0-w4a16")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("thoratsr7/North-Mini-Code-1.0-w4a16")
model = AutoModelForCausalLM.from_pretrained("thoratsr7/North-Mini-Code-1.0-w4a16")
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 thoratsr7/North-Mini-Code-1.0-w4a16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "thoratsr7/North-Mini-Code-1.0-w4a16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "thoratsr7/North-Mini-Code-1.0-w4a16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/thoratsr7/North-Mini-Code-1.0-w4a16

SGLang

How to use thoratsr7/North-Mini-Code-1.0-w4a16 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 "thoratsr7/North-Mini-Code-1.0-w4a16" \
    --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": "thoratsr7/North-Mini-Code-1.0-w4a16",
		"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 "thoratsr7/North-Mini-Code-1.0-w4a16" \
        --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": "thoratsr7/North-Mini-Code-1.0-w4a16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use thoratsr7/North-Mini-Code-1.0-w4a16 with Docker Model Runner:
```
docker model run hf.co/thoratsr7/North-Mini-Code-1.0-w4a16
```

North-Mini-Code-1.0-w4a16 / tokenizer_config.json

thoratsr7

Duplicate from CohereLabs/North-Mini-Code-1.0-w4a16

6cc0180 10 days ago

Raw

History Blame Contribute Delete

8.95 kB

	{
	"add_bos_token": true,
	"add_eos_token": false,
	"add_prefix_space": false,
	"clean_up_tokenization_spaces": false,
	"legacy": true,
	"spaces_between_special_tokens": false,
	"use_default_system_prompt": false,
	"bos_token": "<BOS_TOKEN>",
	"eos_token": "<\|END_OF_TURN_TOKEN\|>",
	"pad_token": "<PAD>",
	"unk_token": "<UNK>",
	"tokenizer_class": "TokenizersBackend",
	"model_max_length": 1000000000000000019884624838656,
	"sp_model_kwargs": {},
	"added_tokens_decoder": {
	"0": {
	"content": "<PAD>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"1": {
	"content": "<MASK_TOKEN>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"2": {
	"content": "<BOS_TOKEN>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"3": {
	"content": "<EOS_TOKEN>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"4": {
	"content": "<UNK>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255000": {
	"content": "<\|START_OF_TURN_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255001": {
	"content": "<\|END_OF_TURN_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255002": {
	"content": "<\|USER_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255003": {
	"content": "<\|CHATBOT_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255004": {
	"content": "<\|SYSTEM_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255005": {
	"content": "<\|NEW_FILE\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255006": {
	"content": "<\|BEGINNING_OF_PREFIX_FIM_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255007": {
	"content": "<\|BEGINNING_OF_MIDDLE_FIM_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255008": {
	"content": "<\|BEGINNING_OF_SUFFIX_FIM_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255009": {
	"content": "<\|END_OF_MIDDLE_FIM_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255010": {
	"content": "<\|START_THINKING\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255011": {
	"content": "<\|END_THINKING\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255012": {
	"content": "<\|START_TEXT\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255013": {
	"content": "<\|END_TEXT\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255014": {
	"content": "<\|START_ACTION\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255015": {
	"content": "<\|END_ACTION\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255016": {
	"content": "<\|START_TOOL_RESULT\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255017": {
	"content": "<\|END_TOOL_RESULT\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255018": {
	"content": "<\|USER_0_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255019": {
	"content": "<\|USER_1_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255020": {
	"content": "<\|USER_2_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255021": {
	"content": "<\|USER_3_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255022": {
	"content": "<\|USER_4_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255023": {
	"content": "<\|USER_5_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255024": {
	"content": "<\|USER_6_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255025": {
	"content": "<\|USER_7_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255026": {
	"content": "<\|USER_8_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255027": {
	"content": "<\|USER_9_TOKEN\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"255028": {
	"content": "<\|START_OF_IMG\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255029": {
	"content": "<\|END_OF_IMG\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255030": {
	"content": "<\|IMG_LINE_BREAK\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"255031": {
	"content": "<\|IMG_PATCH\|>",
	"lstrip": false,
	"normalized": false,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	}
	}