DeepSeek-R1-Distill-Qwen-14B

Instructions to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B 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 VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4
# Run inference directly in the terminal:
llama cli -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4
# Run inference directly in the terminal:
llama cli -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

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 VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4
# Run inference directly in the terminal:
./llama-cli -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

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 VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4
# Run inference directly in the terminal:
./build/bin/llama-cli -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

Use Docker

docker model run hf.co/VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

LM Studio
Jan
Ollama
How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B with Ollama:
```
ollama run hf.co/VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4
```

Unsloth Studio

How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B 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 VECTORVV1/DeepSeek-R1-Distill-Qwen-14B 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 VECTORVV1/DeepSeek-R1-Distill-Qwen-14B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for VECTORVV1/DeepSeek-R1-Distill-Qwen-14B to start chatting

How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

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": "VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B with Docker Model Runner:
```
docker model run hf.co/VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4
```

Lemonade

How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

Run and chat with the model

lemonade run user.DeepSeek-R1-Distill-Qwen-14B-MXFP4

List all available models

lemonade list

Hermes Agent

How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

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 VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use VECTORVV1/DeepSeek-R1-Distill-Qwen-14B with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4

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 "VECTORVV1/DeepSeek-R1-Distill-Qwen-14B:MXFP4" \
  --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"

VECTORVV1

HauhauCS commited on Apr 14

Commit

c59a64d

0 Parent(s):

Duplicate from HauhauCS/GPT-OSS-20B-Uncensored-HauhauCS-Aggressive

Browse files

Co-authored-by: HauHau <HauhauCS@users.noreply.huggingface.co>

Files changed (3) hide show

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GPT-OSS-20B-Uncensored-HauhauCS-MXFP4-Aggressive.gguf +3 -0
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+---
+license: other
+base_model: gpt-oss-20b
+tags:
+  - uncensored
+  - abliterated
+  - gguf
+  - mxfp4
+language:
+  - en
+---
+# GPT-OSS-20B-Uncensored-HauhauCS-Aggressive
+> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
+Uncensored version of GPT-OSS 20B. This is the aggressive variant - tuned harder for fewer refusals.
+If you want something more conservative, check out the [Balanced variant](https://huggingface.co/HauhauCS/GPT-OSS-20B-Uncensored-HauhauCS-Balanced).
+## Format
+MXFP4 GGUF. Works with llama.cpp, ollama, LM Studio, and anything else that loads GGUFs.
+## LM Studio
+Compatible with Reasoning Effort custom buttons. To use them, put the model in:
+```
+LM Models\lmstudio-community\gpt-oss-20b-GGUF\
+```
+## About
+- Base model: GPT-OSS 20B
+- Abliterated with custom tooling
+- Pick this one if you want maximum uncensoring