---
library_name: transformers
tags:
- mergekit
- merge
- llama-3
- creative
- creative writing
- fiction writing
- plot generation
- sub-plot generation
- story generation
- scene continue
- storytelling
- fiction story
- science fiction
- romance
- all genres
- story
- writing
- vivid prose
- vivid writing
- fiction
- roleplaying
- bfloat16
- swearing
- rp
- llama3
- llama-3.1
- llama 3.1
- llama3.1
- horror
- finetune
- llama-cpp
- gguf-my-repo
base_model: DavidAU/L3-Dark-Planet-8B
---

# Triangle104/L3-Dark-Planet-8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`DavidAU/L3-Dark-Planet-8B`](https://huggingface.co/DavidAU/L3-Dark-Planet-8B) 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/L3-Dark-Planet-8B) for more details on the model.

---
It is a LLama3 model, max context of 8192 (or 32k+ with rope).

This model has been designed to be relatively bullet proof and operates with all parameters, including temp settings from 0 to 5.

It is an extraordinary compressed model, with a very low perplexity level (lower than Meta Llama3 Instruct).

It is for any writing, fiction or roleplay activity.

It requires Llama3 template and/or "Command-R" template.

---
## 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/L3-Dark-Planet-8B-Q4_K_M-GGUF --hf-file l3-dark-planet-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/L3-Dark-Planet-8B-Q4_K_M-GGUF --hf-file l3-dark-planet-8b-q4_k_m.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/L3-Dark-Planet-8B-Q4_K_M-GGUF --hf-file l3-dark-planet-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/L3-Dark-Planet-8B-Q4_K_M-GGUF --hf-file l3-dark-planet-8b-q4_k_m.gguf -c 2048
```