Instructions to use PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed with Pruna AI:

from pruna import PrunaModel
model = PrunaModel.from_pretrained("PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed")

llama-cpp-python

How to use PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed",
	filename="LoneStriker/DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2.Q2_K.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 PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed 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 PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed: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 PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed: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 PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M

Use Docker

docker model run hf.co/PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M

LM Studio
Jan
Ollama
How to use PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed with Ollama:
```
ollama run hf.co/PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M
```

Unsloth Studio

How to use PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed 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 PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed 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 PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed to start chatting

Atomic Chat new
Docker Model Runner
How to use PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed with Docker Model Runner:
```
docker model run hf.co/PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M
```

Lemonade

How to use PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PrunaAI/LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed:Q4_K_M

Run and chat with the model

lemonade run user.LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed-Q4_K_M

List all available models

lemonade list

LoneStriker-DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2-GGUF-smashed / LoneStriker /DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2.Q5_0.gguf

sharpenb

Upload LoneStriker/DeepSeek-R1-Distill-Llama-70B-8.0bpw-h8-exl2.Q5_0.gguf with huggingface_hub

60a037e verified over 1 year ago

Download

History Blame

7.82 MB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: b193f2c937fab5cac162daa50883666794f1484fb8c51b2ccca301be0840bc08
Size of remote file:: 7.82 MB
SHA256:: 33283f5a2de2900e8cdc5fd255ea1f28b7505989b7fd46f2edaaf49fd8a8029a

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.