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

Libraries

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

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Install from pip and serve model

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

Use Docker

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

SGLang

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

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

Terrencez commited on 3 days ago

Commit

586cec0

verified ·

1 Parent(s): 8e2b162

fix interleaved reasoning

Browse files

Files changed (1) hide show

chat_template.jinja +8 -4

chat_template.jinja CHANGED Viewed

@@ -125,7 +125,11 @@ These instructions serve as your defaults, but they can be overridden in subsequ
     {%- endif %}
 {%- endmacro %}
 {%- macro print_thinking(msg) %}
-    {%- if msg.thinking -%}
 {{ msg.thinking }}
     {%- elif msg.content and msg.content[0].thinking -%}
 {{ msg.content[0].thinking }}
@@ -224,7 +228,7 @@ Your output should adhere to the following json schema:
             {% if not skip_thinking %}
                 {% if message.tool_plan -%}
                     <|START_THINKING|>{{ message.tool_plan }}<|END_THINKING|>
-                {%- elif message.thinking or (message.content and message.content[0].type == "thinking") -%}
                     <|START_THINKING|>{{ print_thinking(message) }}<|END_THINKING|>
                 {%- endif %}
             {%- endif %}<|START_ACTION|>[
@@ -236,7 +240,7 @@ Your output should adhere to the following json schema:
 ]<|END_ACTION|><|END_OF_TURN_TOKEN|>
         {%- else -%}
-            {% if (message.thinking or (message.content and message.content[0].type == "thinking")) and not skip_thinking -%}
                 <|START_THINKING|>{{ print_thinking(message) }}<|END_THINKING|>
             {%- endif -%}
             {{ print_msg(message) }}<|END_OF_TURN_TOKEN|>
@@ -256,4 +260,4 @@ Your output should adhere to the following json schema:
 ]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>
     {%- endif %}
-{%- endfor %}{%- if add_generation_prompt -%}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if reasoning %}<|START_THINKING|>{% else %}<|START_THINKING|><|END_THINKING|>{% endif %}{%- endif %}

     {%- endif %}
 {%- endmacro %}
 {%- macro print_thinking(msg) %}
+    {%- if msg.reasoning -%}
+{{ msg.reasoning }}
+    {%- elif msg.reasoning_content -%}
+{{ msg.reasoning_content }}
+    {%- elif msg.thinking -%}
 {{ msg.thinking }}
     {%- elif msg.content and msg.content[0].thinking -%}
 {{ msg.content[0].thinking }}
             {% if not skip_thinking %}
                 {% if message.tool_plan -%}
                     <|START_THINKING|>{{ message.tool_plan }}<|END_THINKING|>
+                {%- elif message.reasoning or message.reasoning_content or message.thinking or (message.content and message.content[0].type == "thinking") -%}
                     <|START_THINKING|>{{ print_thinking(message) }}<|END_THINKING|>
                 {%- endif %}
             {%- endif %}<|START_ACTION|>[
 ]<|END_ACTION|><|END_OF_TURN_TOKEN|>
         {%- else -%}
+            {% if (message.reasoning or message.reasoning_content or message.thinking or (message.content and message.content[0].type == "thinking")) and not skip_thinking -%}
                 <|START_THINKING|>{{ print_thinking(message) }}<|END_THINKING|>
             {%- endif -%}
             {{ print_msg(message) }}<|END_OF_TURN_TOKEN|>
 ]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>
     {%- endif %}
+{%- endfor %}{%- if add_generation_prompt -%}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if reasoning %}<|START_THINKING|>{% else %}<|START_THINKING|><|END_THINKING|>{% endif %}{%- endif %}