Instructions to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf",
	filename="DeepSeek-R1-Distill-Llama-70B-Q4_K_M.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-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 AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-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 AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-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 AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-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": "AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M

Ollama
How to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf with Ollama:
```
ollama run hf.co/AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M
```

Unsloth Studio

How to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-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 AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-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 AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf with Docker Model Runner:
```
docker model run hf.co/AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M
```

Lemonade

How to use AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf:Q4_K_M

Run and chat with the model

lemonade run user.lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf-Q4_K_M

List all available models

lemonade list

lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf / release_export_manifest.json

AbteeXAILabs

feat: initial LumynaX scaffold (card v6 + quickstart + manifest + Modelfile + Space scaffold)

41933b6 verified about 1 month ago

Raw

History Blame Contribute Delete

1.16 kB

	{
	"release_id": "lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf",
	"title": "LumynaX Reasoning DeepSeek-R1 Distill Llama 70B GGUF",
	"repo_id": "AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf",
	"version": "v0.1.0",
	"publisher": "AbteeX AI Labs",
	"publisher_org": "AbteeXAILab",
	"jurisdiction": "NZ",
	"residency": [
	"NZ"
	],
	"upstream": {
	"repo_id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
	"license": "llama3.3",
	"prompt_format": "chatml",
	"source_note": "DeepSeek R1 Distill"
	},
	"gguf_mirror": "bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF",
	"runtime": "llama_cpp",
	"modalities": [
	"text"
	],
	"context_tokens": 131072,
	"total_params_b": 70,
	"active_params_b": null,
	"quantization": "Q4_K_M GGUF",
	"primary_artifact": "DeepSeek-R1-Distill-Llama-70B-Q4_K_M.gguf",
	"package_state": "weights_mirrored",
	"validation_status": "scaffold_verified",
	"sovereignty_tier": 3,
	"supports_tools": true,
	"supports_json": true,
	"audit_hash_chain": "SHA-256 over canonical request + response JSON",
	"build_date_utc": "2026-05-17T10:35:11Z"
	}