Text Generation
GGUF
English
Māori
llama.cpp
abteex-ai-labs
aotearoa
chain-of-thought
deepseek
llama
local-first
lumynax
new-zealand
r1-distill
reasoning
sovereign-ai
vllm
vllm-compatible
vllm-experimental
nvidia-nim
nim-compatible
nim-candidate
nvidia-nemo
nem
nvidia-nemo-pathway
nem-pathway
nem-convert-required
imatrix
conversational
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
- llama-cpp-python
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 (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -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 serve -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
File size: 1,160 Bytes
41933b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | {
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"title": "LumynaX Reasoning DeepSeek-R1 Distill Llama 70B GGUF",
"repo_id": "AbteeXAILab/lumynax-reasoning-deepseek-r1-distill-llama-70b-gguf",
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},
"gguf_mirror": "bartowski/DeepSeek-R1-Distill-Llama-70B-GGUF",
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"modalities": [
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"quantization": "Q4_K_M GGUF",
"primary_artifact": "DeepSeek-R1-Distill-Llama-70B-Q4_K_M.gguf",
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"audit_hash_chain": "SHA-256 over canonical request + response JSON",
"build_date_utc": "2026-05-17T10:35:11Z"
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