Instructions to use afrideva/Mixtral_AI_TheAncient-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use afrideva/Mixtral_AI_TheAncient-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="afrideva/Mixtral_AI_TheAncient-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("afrideva/Mixtral_AI_TheAncient-GGUF", dtype="auto")

llama-cpp-python

How to use afrideva/Mixtral_AI_TheAncient-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="afrideva/Mixtral_AI_TheAncient-GGUF",
	filename="mixtral_ai_theancient.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use afrideva/Mixtral_AI_TheAncient-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf afrideva/Mixtral_AI_TheAncient-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 afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf afrideva/Mixtral_AI_TheAncient-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 afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf afrideva/Mixtral_AI_TheAncient-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 afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M

Use Docker

docker model run hf.co/afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use afrideva/Mixtral_AI_TheAncient-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "afrideva/Mixtral_AI_TheAncient-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "afrideva/Mixtral_AI_TheAncient-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M

SGLang

How to use afrideva/Mixtral_AI_TheAncient-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "afrideva/Mixtral_AI_TheAncient-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "afrideva/Mixtral_AI_TheAncient-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "afrideva/Mixtral_AI_TheAncient-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "afrideva/Mixtral_AI_TheAncient-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use afrideva/Mixtral_AI_TheAncient-GGUF with Ollama:
```
ollama run hf.co/afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M
```

Unsloth Studio new

How to use afrideva/Mixtral_AI_TheAncient-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 afrideva/Mixtral_AI_TheAncient-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 afrideva/Mixtral_AI_TheAncient-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for afrideva/Mixtral_AI_TheAncient-GGUF to start chatting

Docker Model Runner
How to use afrideva/Mixtral_AI_TheAncient-GGUF with Docker Model Runner:
```
docker model run hf.co/afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M
```

Lemonade

How to use afrideva/Mixtral_AI_TheAncient-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull afrideva/Mixtral_AI_TheAncient-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Mixtral_AI_TheAncient-GGUF-Q4_K_M

List all available models

lemonade list

Mixtral_AI_TheAncient-GGUF

Quantized GGUF model files for Mixtral_AI_TheAncient from LeroyDyer

Original Model Card:

LeroyDyer/Mixtral_AI_TheAncient

The ancient one - The knowlegde of self and the past is what has shaped us .. the search for truth ... are we alone and have we always been alone: the idea of god or gods the percetion of angels or giants ? or the advanced ones : the ancient past is filled with mystrys !!

Lets unravell them together with this model !! << Full of ancient books >> from ancient khemet to canan and baylon and china and india !! even ancient myths of the celts and gaelic the bible has been uploaded with various versions as well as some translations in other african language bibles as this is the true source of the languge and cultures of the people of the bible and the ancient past : in the decyphre of history we need to have understanding of these ancient languges , as the names and places are based of these forms of speech: also its prucdent to include the classical prose by plato and other to increse the understanding of world perceptions as well as undertanding where some of this fantastical thought came from ! the dreamers: the naghamadi library will be updated soon as well as other egyptian prose and tablets as there are many .. currently focusing on the historys of the world and geographic locations : and currently known historys (foundations) no extra discussion has been given allowing for themodel to make unbiased choices on the info !

Uploaded model

Developed by: LeroyDyer
License: apache-2.0
Finetuned from model : LeroyDyer/Mixtral_AI_CYBER_WORLD_

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month: 109

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

View +1 variant