Instructions to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-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 mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-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 mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-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 mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-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 mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with Ollama:
```
ollama run hf.co/mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-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 mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-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 mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF to start chatting

How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/DeepSeek-R1-Qwen-2.5-1.5b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DeepSeek-R1-Qwen-2.5-1.5b-GGUF-Q4_K_M

List all available models

lemonade list

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Qwen-2.5-1.5b.f16.gguf filter=lfs diff=lfs merge=lfs -text

mradermacher
/

DeepSeek-R1-Qwen-2.5-1.5b-GGUF

uploaded from rich1

+version https://git-lfs.github.com/spec/v1
+oid sha256:7a44342d69ed5924d1154f53245d21bfcc21773d43b39795e7429494d5897d46
+size 1026163456

+version https://git-lfs.github.com/spec/v1
+oid sha256:6421e549fab9cd5eebb2d1e4d01d4d4bc45bee5c3a5a9b1cd7627bc812dc5b12
+size 752881408

+version https://git-lfs.github.com/spec/v1
+oid sha256:5125d25be8e3e77471f80b9a3881b2f78861c8173960edfaa8ab492830b35b35
+size 980441344

+version https://git-lfs.github.com/spec/v1
+oid sha256:b21a30e346550a64a31f30759fa1db62b9a84168b01ae0d31f68a008c1f65f03
+size 924457216

+version https://git-lfs.github.com/spec/v1
+oid sha256:7e009d8d6193cbd39d6e3cf1c5f12822e13f1372a4d41c90fdd2823d1e06aae1
+size 861223168

+version https://git-lfs.github.com/spec/v1
+oid sha256:9a31100425202028592a0d6312acabaa92c8849c56d1d3659809a935a21805e2
+size 1117321984

+version https://git-lfs.github.com/spec/v1
+oid sha256:63043a2638b8393650081d35b1f9e5578fee8f719a000c4befda87ce067d9bbe
+size 1071586048

+version https://git-lfs.github.com/spec/v1
+oid sha256:4ba06c026386cf251e2f867a63b4d10263104bd8a9440893256148c32d7f6c7a
+size 1285495552

+version https://git-lfs.github.com/spec/v1
+oid sha256:1bd203ae1c4c99cb1c0b05588c2ce9e05059c311073e47e0bdf6b83761b7ac38
+size 1259174656

+version https://git-lfs.github.com/spec/v1
+oid sha256:05060326067ab7a001067f1296e2fab1b094b4892c553a93c75cb51fd143d024
+size 1464179968

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:c2532de9ecad90059abe00235dde0632aba19e1d7e642359a39c851e1b3b1e41
+size 1894533376

+version https://git-lfs.github.com/spec/v1
+oid sha256:678ddd6170ee92c7fc23aeb2c7cfd4a908df25136c4933693618d0ed73babe1b
+size 3560417536