Instructions to use NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant 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 NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant
# Run inference directly in the terminal:
llama cli -hf NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant
# Run inference directly in the terminal:
llama cli -hf NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant

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 NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant
# Run inference directly in the terminal:
./llama-cli -hf NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant

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 NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant

Use Docker

docker model run hf.co/NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant

Llama new
LM Studio
Jan
Ollama
How to use NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant with Ollama:
```
ollama run hf.co/NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant
```
Unsloth Desktop
Docker Model Runner
How to use NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant with Docker Model Runner:
```
docker model run hf.co/NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant
```

Lemonade

How to use NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NexaAI/DeepSeek-R1-Distill-Llama-8B-NexaQuant

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Llama-8B-NexaQuant-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

yli-nexa4ai commited on Feb 12, 2025

Commit

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@@ -113,10 +113,10 @@ Get the latest version from the [official website](https://lmstudio.ai/).
 ## What's next
-1. Inference Nexa Quantized Deepseek-R1 distilled model on NPU.
-2. This model is designed for complex problem-solving, which is why it has a longer thinking process. We understand this can be an issue in some cases, and we're actively working on improvements.
 ### Follow us
 If you liked our work, feel free to ⭐Star [Nexa's GitHub Repo](https://github.com/NexaAI/nexa-sdk).

 ## What's next
+1. This model is built for complex problem-solving, which is why it sometimes takes a long thinking process even for simple questions. We recognize this and are working on improving it in the next update.
+2. Inference Nexa Quantized Deepseek-R1 distilled model on NPU
 ### Follow us
 If you liked our work, feel free to ⭐Star [Nexa's GitHub Repo](https://github.com/NexaAI/nexa-sdk).