Instructions to use embedme/lightonai-lateon-Q4_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use embedme/lightonai-lateon-Q4_0 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 embedme/lightonai-lateon-Q4_0:Q4_0
# Run inference directly in the terminal:
llama cli -hf embedme/lightonai-lateon-Q4_0:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf embedme/lightonai-lateon-Q4_0:Q4_0
# Run inference directly in the terminal:
llama cli -hf embedme/lightonai-lateon-Q4_0:Q4_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 embedme/lightonai-lateon-Q4_0:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf embedme/lightonai-lateon-Q4_0:Q4_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 embedme/lightonai-lateon-Q4_0:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf embedme/lightonai-lateon-Q4_0:Q4_0

Use Docker

docker model run hf.co/embedme/lightonai-lateon-Q4_0:Q4_0

LM Studio
Jan
Ollama
How to use embedme/lightonai-lateon-Q4_0 with Ollama:
```
ollama run hf.co/embedme/lightonai-lateon-Q4_0:Q4_0
```

Unsloth Studio

How to use embedme/lightonai-lateon-Q4_0 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 embedme/lightonai-lateon-Q4_0 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 embedme/lightonai-lateon-Q4_0 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for embedme/lightonai-lateon-Q4_0 to start chatting

Atomic Chat new
Docker Model Runner
How to use embedme/lightonai-lateon-Q4_0 with Docker Model Runner:
```
docker model run hf.co/embedme/lightonai-lateon-Q4_0:Q4_0
```

Lemonade

How to use embedme/lightonai-lateon-Q4_0 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull embedme/lightonai-lateon-Q4_0:Q4_0

Run and chat with the model

lemonade run user.lightonai-lateon-Q4_0-Q4_0

List all available models

lemonade list

ctrltokyo commited on 18 days ago

Commit

3f14ce3

verified ·

1 Parent(s): 18bddbb

Add folded LateOn projection

Browse files

Files changed (2) hide show

.gitattributes +1 -0
LateOn-Q4_0.projection +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+LateOn-Q4_0.projection filter=lfs diff=lfs merge=lfs -text

LateOn-Q4_0.projection ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:3e7fd24683cbcde958448d2d7120d7f12d4d0abcb67bed47e19e7a3170a5fa0a
+size 393224