Instructions to use OfTheOrgansIAM/Wat2c_GGCF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OfTheOrgansIAM/Wat2c_GGCF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="OfTheOrgansIAM/Wat2c_GGCF",
	filename="wadec-wat2c.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 OfTheOrgansIAM/Wat2c_GGCF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf OfTheOrgansIAM/Wat2c_GGCF
# Run inference directly in the terminal:
llama-cli -hf OfTheOrgansIAM/Wat2c_GGCF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf OfTheOrgansIAM/Wat2c_GGCF
# Run inference directly in the terminal:
llama-cli -hf OfTheOrgansIAM/Wat2c_GGCF

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 OfTheOrgansIAM/Wat2c_GGCF
# Run inference directly in the terminal:
./llama-cli -hf OfTheOrgansIAM/Wat2c_GGCF

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 OfTheOrgansIAM/Wat2c_GGCF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf OfTheOrgansIAM/Wat2c_GGCF

Use Docker

docker model run hf.co/OfTheOrgansIAM/Wat2c_GGCF

LM Studio
Jan
Ollama
How to use OfTheOrgansIAM/Wat2c_GGCF with Ollama:
```
ollama run hf.co/OfTheOrgansIAM/Wat2c_GGCF
```

Unsloth Studio

How to use OfTheOrgansIAM/Wat2c_GGCF 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 OfTheOrgansIAM/Wat2c_GGCF 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 OfTheOrgansIAM/Wat2c_GGCF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for OfTheOrgansIAM/Wat2c_GGCF to start chatting

Docker Model Runner
How to use OfTheOrgansIAM/Wat2c_GGCF with Docker Model Runner:
```
docker model run hf.co/OfTheOrgansIAM/Wat2c_GGCF
```

Lemonade

How to use OfTheOrgansIAM/Wat2c_GGCF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull OfTheOrgansIAM/Wat2c_GGCF

Run and chat with the model

lemonade run user.Wat2c_GGCF-{{QUANT_TAG}}

List all available models

lemonade list

OfTheOrgansIAM commited on 3 days ago

Commit

06e1a05

verified ·

1 Parent(s): fd2262b

Update README.md

Browse files

Files changed (1) hide show

README.md +11 -9

README.md CHANGED Viewed

@@ -1,6 +1,11 @@
----
-license: llama2
----
 ---
 tags:
   - gguf
@@ -8,9 +13,6 @@ tags:
   - decompilation
 ---
-# Wat2c GGUF
-GGUF conversion of [wadecc/Wat2c](https://huggingface.co/wadecc/Wat2c) for local inference.
-Original model: WaDec: Decompiling WebAssembly Using Large Language Model (arXiv:2406.11346)
-Converted by: OfTheOrgansIAM

+# Wat2c GGUF
+GGUF conversion of [wadecc/Wat2c](https://huggingface.co/wadecc/Wat2c) for local inference.
+Original model: WaDec: Decompiling WebAssembly Using Large Language Model (arXiv:2406.11346)
+Converted by: OfTheOrgansIAM
 ---
 tags:
   - gguf
   - decompilation
 ---
+---
+license: llama2
+---