Instructions to use leom21/cron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use leom21/cron with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="leom21/cron",
	filename="SmolLM2-360M-Instruct.Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use leom21/cron with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf leom21/cron:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf leom21/cron:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf leom21/cron:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf leom21/cron: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 leom21/cron:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf leom21/cron: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 leom21/cron:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf leom21/cron:Q4_K_M

Use Docker

docker model run hf.co/leom21/cron:Q4_K_M

LM Studio
Jan
Ollama
How to use leom21/cron with Ollama:
```
ollama run hf.co/leom21/cron:Q4_K_M
```

Unsloth Studio

How to use leom21/cron 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 leom21/cron 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 leom21/cron to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for leom21/cron to start chatting

Atomic Chat new
Docker Model Runner
How to use leom21/cron with Docker Model Runner:
```
docker model run hf.co/leom21/cron:Q4_K_M
```

Lemonade

How to use leom21/cron with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull leom21/cron:Q4_K_M

Run and chat with the model

lemonade run user.cron-Q4_K_M

List all available models

lemonade list

leom21 commited on 19 days ago

Commit

ef86c81

verified ·

1 Parent(s): 08bce12

Unsloth Model Card

Browse files

Files changed (1) hide show

README.md +12 -11

README.md CHANGED Viewed

@@ -1,20 +1,21 @@
 ---
 tags:
-- gguf
-- llama.cpp
 - unsloth
 ---
-# cron : GGUF
-This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
-**Example usage**:
-- For text only LLMs:    `llama-cli -hf leom21/cron --jinja`
-- For multimodal models: `llama-mtmd-cli -hf leom21/cron --jinja`
-## Available Model files:
-- `SmolLM2-360M-Instruct.Q4_K_M.gguf`
-This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

 ---
+base_model: unsloth/SmolLM2-360M-Instruct
 tags:
+- text-generation-inference
+- transformers
 - unsloth
+- llama
+license: apache-2.0
+language:
+- en
 ---
+# Uploaded finetuned  model
+- **Developed by:** leom21
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/SmolLM2-360M-Instruct
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)