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

Libraries

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

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

llama-cpp-python

How to use mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF",
	filename="DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.IQ4_XS.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 mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M

Use Docker

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

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

Unsloth Studio

How to use mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF to start chatting

How to use mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF:Q4_K_M
```

Lemonade

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

Pull the model

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

Run and chat with the model

lemonade run user.DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-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-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured.f16.gguf filter=lfs diff=lfs merge=lfs -text

mradermacher
/

DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUF

uploaded from rain

+version https://git-lfs.github.com/spec/v1
+oid sha256:e5512ec854cd23df34e63a7eca51785d77ad3d4762870eb612abad3b2e145445
+size 902183680

+version https://git-lfs.github.com/spec/v1
+oid sha256:ac3170bd1c160371af0c8f2cedff97509f4b37db3afbfecd7b855e6ebffddb1b
+size 676305664

+version https://git-lfs.github.com/spec/v1
+oid sha256:031915e74c49fab4bb64915f1e44a5a300113eb2cbba8272a8da8d108c99fc2b
+size 880163584

+version https://git-lfs.github.com/spec/v1
+oid sha256:85f7d6d73f0471245bc49969cf91b7a67d88c67e4f3dae80df541d4227f810b3
+size 824179456

+version https://git-lfs.github.com/spec/v1
+oid sha256:03af15b01198f7081ec7bcd111c3b0319b1b704e7e0420f8e3183af2b1456c39
+size 760945408

+version https://git-lfs.github.com/spec/v1
+oid sha256:355979c8ec6fe86be4246615f8ec5014799fde41dc4bb483474337f6346739d8
+size 986049280

+version https://git-lfs.github.com/spec/v1
+oid sha256:484dac81e2be1b84443026905d34e27c811fab9629f18ac16acdaf2989585075
+size 940313344

+version https://git-lfs.github.com/spec/v1
+oid sha256:d4f961bf5165e49526387cc6387269d1c111d7199cf58bdbf24e155e1e6fb882
+size 1125051136

+version https://git-lfs.github.com/spec/v1
+oid sha256:3d6003c07b9bd47f2f327ce089eb42ed5dc833c478805cbf031a9774bedaf589
+size 1098730240

+version https://git-lfs.github.com/spec/v1
+oid sha256:545ea73344c559306841d70eda711a29e280ebad93df1b51952b8c3e8137ec33
+size 1272740608

	@@ -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 sha256:3eec2399ba0d7d455a1f29281c240519825be457d037e2770ecd8f6230a01710
+size 1646573824

+version https://git-lfs.github.com/spec/v1
+oid sha256:71c2f88423b66368bf81a191ea4e6977e7fc9770aa1566f8b2df6f3bab4e601f
+size 3093670144