Instructions to use mradermacher/marco-o1-uncensored-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/marco-o1-uncensored-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/marco-o1-uncensored-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/marco-o1-uncensored-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/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/marco-o1-uncensored-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/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/marco-o1-uncensored-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/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/marco-o1-uncensored-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/marco-o1-uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/marco-o1-uncensored-GGUF with Ollama:
ollama run hf.co/mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/marco-o1-uncensored-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/marco-o1-uncensored-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/marco-o1-uncensored-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.marco-o1-uncensored-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
auto-patch README.md
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ quantized_by: mradermacher
|
|
| 15 |
static quants of https://huggingface.co/thirdeyeai/marco-o1-uncensored
|
| 16 |
|
| 17 |
<!-- provided-files -->
|
| 18 |
-
weighted/imatrix quants
|
| 19 |
## Usage
|
| 20 |
|
| 21 |
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
|
@@ -32,9 +32,12 @@ more details, including on how to concatenate multi-part files.
|
|
| 32 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
|
| 33 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
|
| 34 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
|
|
|
|
|
|
|
| 35 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
|
| 36 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
|
| 37 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
|
|
|
|
| 38 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
|
| 39 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
|
| 40 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
|
|
|
|
| 15 |
static quants of https://huggingface.co/thirdeyeai/marco-o1-uncensored
|
| 16 |
|
| 17 |
<!-- provided-files -->
|
| 18 |
+
weighted/imatrix quants are available at https://huggingface.co/mradermacher/marco-o1-uncensored-i1-GGUF
|
| 19 |
## Usage
|
| 20 |
|
| 21 |
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
|
|
|
| 32 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
|
| 33 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
|
| 34 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
|
| 35 |
+
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
|
| 36 |
+
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.5 | fast on arm, low quality |
|
| 37 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
|
| 38 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
|
| 39 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
|
| 40 |
+
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
|
| 41 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
|
| 42 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
|
| 43 |
| [GGUF](https://huggingface.co/mradermacher/marco-o1-uncensored-GGUF/resolve/main/marco-o1-uncensored.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
|