Instructions to use Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Naphula/Human-Like-LLama3-8B-Instruct-MPOA-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 Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K

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 Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K

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 Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K

Use Docker

docker model run hf.co/Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K

LM Studio
Jan
Ollama
How to use Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF with Ollama:
```
ollama run hf.co/Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K
```
Unsloth Desktop
Docker Model Runner
How to use Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF with Docker Model Runner:
```
docker model run hf.co/Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K
```

Lemonade

How to use Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF:Q6_K

Run and chat with the model

lemonade run user.Human-Like-LLama3-8B-Instruct-MPOA-GGUF-Q6_K

List all available models

lemonade list

Atomic Chat

⚠️ Warning: This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly, and use Llama 3 chat template.

🖋️ Human Like Llama3 8B Instruct MPOA GGUF

Fully uncensored

Downloads last month: 33

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

6-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF

Base model

meta-llama/Meta-Llama-3-8B-Instruct

Finetuned

HumanLLMs/Human-Like-LLama3-8B-Instruct

Finetuned

Naphula/Human-Like-LLama3-8B-Instruct-MPOA

Quantized

(4)

this model

Naphula
/

Human-Like-LLama3-8B-Instruct-MPOA-GGUF

🖋️ Human Like Llama3 8B Instruct MPOA GGUF

Model tree for Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF

Dataset used to train Naphula/Human-Like-LLama3-8B-Instruct-MPOA-GGUF