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

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Hishambarakat/LLM 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 Hishambarakat/LLM:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Hishambarakat/LLM:Q4_K_M

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/Hishambarakat/LLM:Q4_K_M

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

Unsloth Studio

How to use Hishambarakat/LLM 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 Hishambarakat/LLM 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 Hishambarakat/LLM to start chatting

Using HuggingFace Spaces for Unsloth

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

Docker Model Runner
How to use Hishambarakat/LLM with Docker Model Runner:
```
docker model run hf.co/Hishambarakat/LLM:Q4_K_M
```

Lemonade

How to use Hishambarakat/LLM with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Hishambarakat/LLM:Q4_K_M

Run and chat with the model

lemonade run user.LLM-Q4_K_M

List all available models

lemonade list

Atomic Chat

Hishambarakat commited on Oct 16, 2024

Commit

4bb727e

verified ·

1 Parent(s): 3393c2e

Upload Llama-heavy/checklist.chk with huggingface_hub

Browse files

Files changed (1) hide show

Llama-heavy/checklist.chk +10 -0

Llama-heavy/checklist.chk ADDED Viewed

	@@ -0,0 +1,10 @@

+7e4678dca0c921d8e499725e1bbbc5ef  ./consolidated.00.pth
+cce1bff2c3a2d012eeebdcad51a09c35  ./consolidated.01.pth
+33044fff3b071991989dcea765779269  ./consolidated.02.pth
+c84839b22a5ac3951c478ab9476b315b  ./consolidated.03.pth
+8c4593ed8ea2735e02ea038ae0cbe6fc  ./consolidated.04.pth
+976c25825e7538aa0a9e80330ce5a748  ./consolidated.05.pth
+94b5632d01b378aeb6174345dfca2972  ./consolidated.06.pth
+46710e35f5b08ecc8def7e11c07d9e76  ./consolidated.07.pth
+da92bc05c55205211772d3c88795f1ae  ./params.json
+08292403f8b173e7524d7fba7bbbd2d3  ./tokenizer.model