Instructions to use webai-community/ai-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use webai-community/ai-models with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="webai-community/ai-models",
	filename="CodeLlama-7b-Instruct-hf/gguf/codellama-7b-instruct.Q4_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use webai-community/ai-models with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf webai-community/ai-models:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf webai-community/ai-models:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf webai-community/ai-models:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf webai-community/ai-models:Q4_K_M

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 webai-community/ai-models:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf webai-community/ai-models:Q4_K_M

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 webai-community/ai-models:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf webai-community/ai-models:Q4_K_M

Use Docker

docker model run hf.co/webai-community/ai-models:Q4_K_M

LM Studio
Jan
Ollama
How to use webai-community/ai-models with Ollama:
```
ollama run hf.co/webai-community/ai-models:Q4_K_M
```

Unsloth Studio

How to use webai-community/ai-models 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 webai-community/ai-models 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 webai-community/ai-models to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for webai-community/ai-models to start chatting

Docker Model Runner
How to use webai-community/ai-models with Docker Model Runner:
```
docker model run hf.co/webai-community/ai-models:Q4_K_M
```

Lemonade

How to use webai-community/ai-models with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull webai-community/ai-models:Q4_K_M

Run and chat with the model

lemonade run user.ai-models-Q4_K_M

List all available models

lemonade list

update SmolLM-1.7B-Instruct

by ErazerControl - opened Apr 16

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+18

-18

Files changed (1) hide show

SmolLM-1.7B-Instruct/README.md +18 -18

SmolLM-1.7B-Instruct/README.md CHANGED Viewed

@@ -1,18 +1,18 @@
-# SmolLM-1.7B-Instruct
-## GenAI WebGPU Model
-Generated using `onnxruntime_genai.models.builder`
-- **onnxruntime-genai commit**: `41c4ce18fec1240c2f848725e31fbe8854010188`
-- **transformers version**: `4.57.0`
-- **Precision**: int4
-- **Execution Provider**: webgpu
-```
-python -m onnxruntime_genai.models.builder -p int4 -e webgpu -m HuggingFaceTB/SmolLM-1.7B-Instruct -o E:\ai-models\SmolLM-1.7B-Instruct\onnx-webgpu\ --extra_options int4_algo_config=rtn_last int4_is_symmetric=true prune_lm_head=true enable_webgpu_graph=true
-```
-## GGUF Model
-Downloaded from: [bartowski/SmolLM2-1.7B-Instruct-GGUF](https://huggingface.co/bartowski/SmolLM2-1.7B-Instruct-GGUF)

+# SmolLM-1.7B-Instruct
+## GenAI WebGPU Model
+Generated using `onnxruntime_genai.models.builder`
+- **onnxruntime-genai commit**: `41c4ce18fec1240c2f848725e31fbe8854010188`
+- **transformers version**: `4.57.0`
+- **Precision**: int4
+- **Execution Provider**: webgpu
+```
+python -m onnxruntime_genai.models.builder -p int4 -e webgpu -m HuggingFaceTB/SmolLM-1.7B-Instruct -o E:\ai-models\SmolLM-1.7B-Instruct\onnx-webgpu\ --extra_options int4_algo_config=rtn_last int4_is_symmetric=true prune_lm_head=true enable_webgpu_graph=true
+```
+## GGUF Model
+Downloaded from: [MaziyarPanahi/SmolLM-1.7B-Instruct-GGUF](https://huggingface.co/MaziyarPanahi/SmolLM-1.7B-Instruct-GGUF)