Instructions to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator with Transformers:

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

pipe = pipeline("text-generation", model="yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0
# Run inference directly in the terminal:
llama cli -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0
# Run inference directly in the terminal:
llama cli -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0

Use Docker

docker model run hf.co/yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0

LM Studio
Jan

vLLM

How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0

SGLang

How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator 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 "yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator" \
    --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": "yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator",
		"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 "yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator" \
        --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": "yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator with Ollama:
```
ollama run hf.co/yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0
```

Unsloth Studio

How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator 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 yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator 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 yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator to start chatting

Docker Model Runner
How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator with Docker Model Runner:
```
docker model run hf.co/yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0
```

Lemonade

How to use yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull yezdata/SmolLM2-1.7B-Instruct-DocstringGenerator:Q8_0

Run and chat with the model

lemonade run user.SmolLM2-1.7B-Instruct-DocstringGenerator-Q8_0

List all available models

lemonade list

Atomic Chat

yezdata commited on Jul 19

Commit

42905d0

verified ·

1 Parent(s): ae20bbb

add safetensors format of model

Browse files

Files changed (6) hide show

safetensors/chat_template.jinja +6 -0
safetensors/config.json +43 -0
safetensors/generation_config.json +7 -0
safetensors/model.safetensors +3 -0
safetensors/tokenizer.json +0 -0
safetensors/tokenizer_config.json +19 -0

safetensors/chat_template.jinja ADDED Viewed

	@@ -0,0 +1,6 @@

+{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
+You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
+' }}{% endif %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

safetensors/config.json ADDED Viewed

	@@ -0,0 +1,43 @@

+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 32,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 130000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": true,
+  "transformers.js_config": {
+    "dtype": "q4",
+    "kv_cache_dtype": {
+      "fp16": "float16",
+      "q4f16": "float16"
+    },
+    "use_external_data_format": {
+      "model.onnx": true,
+      "model_fp16.onnx": true
+    }
+  },
+  "transformers_version": "5.13.0",
+  "use_cache": true,
+  "vocab_size": 49152
+}

safetensors/generation_config.json ADDED Viewed

	@@ -0,0 +1,7 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "5.13.0"
+}

safetensors/model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:aa3f38dd222a93f5675531f5b33cc6e83f76e706bba64455d8890b5bddc2e25e
+size 3422777736

safetensors/tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

safetensors/tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,19 @@

+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|im_start|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 8192,
+  "pad_token": "<|im_end|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}