Instructions to use gnumanth/xkcd-functiongemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gnumanth/xkcd-functiongemma with Transformers:

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

pipe = pipeline("text-generation", model="gnumanth/xkcd-functiongemma")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("gnumanth/xkcd-functiongemma", dtype="auto")

PEFT
How to use gnumanth/xkcd-functiongemma with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use gnumanth/xkcd-functiongemma with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/gnumanth/xkcd-functiongemma

SGLang

How to use gnumanth/xkcd-functiongemma 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 "gnumanth/xkcd-functiongemma" \
    --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": "gnumanth/xkcd-functiongemma",
		"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 "gnumanth/xkcd-functiongemma" \
        --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": "gnumanth/xkcd-functiongemma",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio new

How to use gnumanth/xkcd-functiongemma with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for gnumanth/xkcd-functiongemma to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for gnumanth/xkcd-functiongemma to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for gnumanth/xkcd-functiongemma to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="gnumanth/xkcd-functiongemma",
    max_seq_length=2048,
)

Docker Model Runner
How to use gnumanth/xkcd-functiongemma with Docker Model Runner:
```
docker model run hf.co/gnumanth/xkcd-functiongemma
```

gnumanth commited on Jan 2

Commit

578f188

verified ·

1 Parent(s): c0e8201

Upload model trained with Unsloth

Browse files

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Files changed (4) hide show

chat_template.jinja +3 -0
special_tokens_map.json +8 -2
tokenizer.json +2 -2
tokenizer_config.json +3 -3

chat_template.jinja CHANGED Viewed

@@ -139,6 +139,9 @@ declaration:{{- tool_data['function']['name'] -}}
             {%- endfor -%}
         {%- endif -%}
         {%- set loop_messages = messages[1:] -%}
     {%- endif -%}
     {%- if tools -%}
         {%- for tool in tools %}

             {%- endfor -%}
         {%- endif -%}
         {%- set loop_messages = messages[1:] -%}
+    {%- else -%}
+        {{- 'You are a model that can do function calling with the following functions' -}}
+        {%- set loop_messages = messages -%}
     {%- endif -%}
     {%- if tools -%}
         {%- for tool in tools %}

special_tokens_map.json CHANGED Viewed

@@ -9,14 +9,20 @@
   },
   "eoi_token": "<end_of_image>",
   "eos_token": {
-    "content": "<eos>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false
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   "image_token": "<image_soft_token>",
-  "pad_token": "<eos>",
   "sfr_token": "<start_function_response>",
   "unk_token": {
     "content": "<unk>",

   },
   "eoi_token": "<end_of_image>",
   "eos_token": {
+    "content": "<end_of_turn>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false
   },
   "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "sfr_token": "<start_function_response>",
   "unk_token": {
     "content": "<unk>",

tokenizer.json CHANGED Viewed

@@ -1,3 +1,3 @@
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-size 33385163

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+size 33384899

tokenizer_config.json CHANGED Viewed

@@ -51335,7 +51335,7 @@
   "bos_token": "<bos>",
   "clean_up_tokenization_spaces": false,
   "eoi_token": "<end_of_image>",
-  "eos_token": "<eos>",
   "extra_special_tokens": {
     "boi_token": "<start_of_image>",
     "eoi_token": "<end_of_image>",
@@ -51343,8 +51343,8 @@
     "sfr_token": "<start_function_response>"
   },
   "image_token": "<image_soft_token>",
-  "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "<eos>",
   "padding_side": "left",
   "sfr_token": "<start_function_response>",
   "sp_model_kwargs": null,

   "bos_token": "<bos>",
   "clean_up_tokenization_spaces": false,
   "eoi_token": "<end_of_image>",
+  "eos_token": "<end_of_turn>",
   "extra_special_tokens": {
     "boi_token": "<start_of_image>",
     "eoi_token": "<end_of_image>",
     "sfr_token": "<start_function_response>"
   },
   "image_token": "<image_soft_token>",
+  "model_max_length": 32768,
+  "pad_token": "<pad>",
   "padding_side": "left",
   "sfr_token": "<start_function_response>",
   "sp_model_kwargs": null,