---
base_model: DavidAU/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored
library_name: transformers
tags:
- reasoning
- thinking
- cognitivecomputations
- r1
- cot
- deepseek
- Llama 3.1
- Hermes
- DeepHermes
- 128k context
- fine tune
- merge
- llama-cpp
- gguf-my-repo
---

# Triangle104/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored-Q8_0-GGUF
This model was converted to GGUF format from [`DavidAU/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored`](https://huggingface.co/DavidAU/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/DavidAU/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored) for more details on the model.

---
This model is uncensored DeepHermes reasoning/thinking (Llama 3.1) coupled with DarkIdol's insanely strong uncensored fine tune.


This model retains DarkIdols uncensored "profile".


Also this model can be run at any temp, and reasoning will occur. 


This is a Llama 3.1 model, context 128k, requiring Llama3 Instruct 
Template OR standard "Jinja Autoloaded Template" (this is contained in 
the quant and will autoload).

---
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo Triangle104/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored-Q8_0-GGUF --hf-file llama-3.1-deephermes-r1-reasoning-8b-darkidol-instruct-1.2-uncensored-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored-Q8_0-GGUF --hf-file llama-3.1-deephermes-r1-reasoning-8b-darkidol-instruct-1.2-uncensored-q8_0.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Triangle104/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored-Q8_0-GGUF --hf-file llama-3.1-deephermes-r1-reasoning-8b-darkidol-instruct-1.2-uncensored-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Llama-3.1-DeepHermes-R1-Reasoning-8B-DarkIdol-Instruct-1.2-Uncensored-Q8_0-GGUF --hf-file llama-3.1-deephermes-r1-reasoning-8b-darkidol-instruct-1.2-uncensored-q8_0.gguf -c 2048
```