Instructions to use mradermacher/SmolLCoder-1.7B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/SmolLCoder-1.7B-Instruct-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/SmolLCoder-1.7B-Instruct-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/SmolLCoder-1.7B-Instruct-GGUF 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 mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use mradermacher/SmolLCoder-1.7B-Instruct-GGUF with Ollama:
ollama run hf.co/mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/SmolLCoder-1.7B-Instruct-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/SmolLCoder-1.7B-Instruct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/SmolLCoder-1.7B-Instruct-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.SmolLCoder-1.7B-Instruct-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download SmolLCoder-1.7B-Instruct.Q8_0.gguf from mradermacher/SmolLCoder-1.7B-Instruct-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 1.82 GB
-
https://huggingface.co/mradermacher/SmolLCoder-1.7B-Instruct-GGUF/resolve/main/SmolLCoder-1.7B-Instruct.Q8_0.gguf
- Command line
-
hf download hf://mradermacher/SmolLCoder-1.7B-Instruct-GGUF/SmolLCoder-1.7B-Instruct.Q8_0.gguf
-
curl -L -o SmolLCoder-1.7B-Instruct.Q8_0.gguf https://huggingface.co/mradermacher/SmolLCoder-1.7B-Instruct-GGUF/resolve/main/SmolLCoder-1.7B-Instruct.Q8_0.gguf
1.82 GB
- Xet hash:
- f70ac45cb6b543347bb34cee68b0692564fd024c2484e9415453850513d4c506
- Size of remote file:
- 1.82 GB
- SHA256:
- d14ebff5164ad34efa42a010a38f79306cd59c74cee0f219036a0c0e2f682513
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