Instructions to use BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF", dtype="auto")

llama-cpp-python

How to use BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF",
	filename="replete-coder-llama3-8b-iq3_m-imat.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 BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF: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 BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF: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 BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF with Ollama:
```
ollama run hf.co/BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M
```

Unsloth Studio

How to use BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF 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 BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF 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 BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF with Docker Model Runner:
```
docker model run hf.co/BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M
```

Lemonade

How to use BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BenevolenceMessiah/Replete-Coder-Llama3-8B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Replete-Coder-Llama3-8B-GGUF-Q4_K_M

List all available models

lemonade list

BenevolenceMessiah commited on Jun 27, 2024

Commit

1168e15

verified ·

1 Parent(s): a920777

Update README.md

Browse files

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -154,9 +154,9 @@ model-index:
       url: https://www.placeholderurl.com
       name: Open LLM Leaderboard
 ---
-Greetings friends, Asalamu Alaikum; I am pleased to provide you with GGUF vresions of this great model! The original model is: [Replete-AI/Replete-Coder-Llama3-8B](https://huggingface.co/Replete-AI/Replete-Coder-Llama3-8B/tree/main) by [Replete-AI](https://huggingface.co/Replete-AI).
 <!-- description start -->
-## Description (per TheBloke)
 This repo contains GGUF format model files.
@@ -164,7 +164,7 @@ These files were quantised using ggml-org/gguf-my-repo [https://huggingface.co/s
 <!-- description end -->
 <!-- README_GGUF.md-about-gguf start -->
-### About GGUF (per TheBloke)
 GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

       url: https://www.placeholderurl.com
       name: Open LLM Leaderboard
 ---
+Greetings friends, Asalamu Alaikum; I am pleased to provide you with GGUF vresions of this great model! The original model is: [Replete-AI/Replete-Coder-Llama3-8B](https://huggingface.co/Replete-AI/Replete-Coder-Llama3-8B/tree/main) by [Replete-AI](https://huggingface.co/Replete-AI) with the finetuning conducted by [rombo dwag](https://huggingface.co/rombodawg).
 <!-- description start -->
+## Description (per [TheBloke](https://huggingface.co/TheBloke))
 This repo contains GGUF format model files.
 <!-- description end -->
 <!-- README_GGUF.md-about-gguf start -->
+### About GGUF (per [TheBloke](https://huggingface.co/TheBloke))
 GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.