Instructions to use microsoft/FrogMini-14B-2510 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use microsoft/FrogMini-14B-2510 with Transformers:

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

pipe = pipeline("text-generation", model="microsoft/FrogMini-14B-2510")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("microsoft/FrogMini-14B-2510")
model = AutoModelForCausalLM.from_pretrained("microsoft/FrogMini-14B-2510")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use microsoft/FrogMini-14B-2510 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "microsoft/FrogMini-14B-2510"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "microsoft/FrogMini-14B-2510",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/microsoft/FrogMini-14B-2510

SGLang

How to use microsoft/FrogMini-14B-2510 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 "microsoft/FrogMini-14B-2510" \
    --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": "microsoft/FrogMini-14B-2510",
		"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 "microsoft/FrogMini-14B-2510" \
        --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": "microsoft/FrogMini-14B-2510",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use microsoft/FrogMini-14B-2510 with Docker Model Runner:
```
docker model run hf.co/microsoft/FrogMini-14B-2510
```

MarcCote commited on Jan 13

Commit

9621055

verified ·

1 Parent(s): 9fa659c

Update chat template to use XML tool call format.

Browse files

Files changed (1) hide show

chat_template.jinja +10 -8

chat_template.jinja CHANGED Viewed

@@ -8,12 +8,13 @@
         {{- "\n" }}
         {{- tool | tojson }}
     {%- endfor %}
-    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
 {%- else %}
     {%- if messages[0].role == 'system' %}
         {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
     {%- endif %}
 {%- endif %}
 {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
 {%- for message in messages[::-1] %}
     {%- set index = (messages|length - 1) - loop.index0 %}
@@ -57,15 +58,16 @@
                 {%- if tool_call.function %}
                     {%- set tool_call = tool_call.function %}
                 {%- endif %}
-                {{- '<tool_call>\n{"name": "' }}
-                {{- tool_call.name }}
-                {{- '", "arguments": ' }}
                 {%- if tool_call.arguments is string %}
-                    {{- tool_call.arguments }}
                 {%- else %}
-                    {{- tool_call.arguments | tojson }}
                 {%- endif %}
-                {{- '}\n</tool_call>' }}
             {%- endfor %}
         {%- endif %}
         {{- '<|im_end|>\n' }}
@@ -86,4 +88,4 @@
     {%- if enable_thinking is defined and enable_thinking is false %}
         {{- '<think>\n\n</think>\n\n' }}
     {%- endif %}
-{%- endif %}

         {{- "\n" }}
         {{- tool | tojson }}
     {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, use this XML format:\n\n<function=function_name>\n  <parameter=param1>value1</parameter>\n  <parameter=param2>value2</parameter>\n</function>\n" }}
 {%- else %}
     {%- if messages[0].role == 'system' %}
         {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
     {%- endif %}
 {%- endif %}
 {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
 {%- for message in messages[::-1] %}
     {%- set index = (messages|length - 1) - loop.index0 %}
                 {%- if tool_call.function %}
                     {%- set tool_call = tool_call.function %}
                 {%- endif %}
+                {{- '<function=' + tool_call.name + '>\n' }}
                 {%- if tool_call.arguments is string %}
+                    {%- set args = tool_call.arguments | fromjson %}
                 {%- else %}
+                    {%- set args = tool_call.arguments %}
                 {%- endif %}
+                {%- for param_name, param_value in args.items() %}
+                    {{- '  <parameter=' + param_name + '>' + param_value + '</parameter>\n' }}
+                {%- endfor %}
+                {{- '</function>' }}
             {%- endfor %}
         {%- endif %}
         {{- '<|im_end|>\n' }}
     {%- if enable_thinking is defined and enable_thinking is false %}
         {{- '<think>\n\n</think>\n\n' }}
     {%- endif %}
+{%- endif %}