---
base_model: allura-org/L3.1-8b-RP-Ink
tags:
- conversational
- roleplay
- chat
- llama-cpp
- gguf-my-repo
license: llama3.1
---

# Triangle104/L3.1-8b-RP-Ink-Q4_K_S-GGUF
This model was converted to GGUF format from [`allura-org/L3.1-8b-RP-Ink`](https://huggingface.co/allura-org/L3.1-8b-RP-Ink) 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/allura-org/L3.1-8b-RP-Ink) for more details on the model.

---
A roleplay-focused LoRA finetune of Llama 3.1 8B Instruct. Methodology and hyperparams inspired by SorcererLM and Slush.
Yet another model in the Ink series, following in the footsteps of the rest of them

---
## 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/L3.1-8b-RP-Ink-Q4_K_S-GGUF --hf-file l3.1-8b-rp-ink-q4_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/L3.1-8b-RP-Ink-Q4_K_S-GGUF --hf-file l3.1-8b-rp-ink-q4_k_s.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/L3.1-8b-RP-Ink-Q4_K_S-GGUF --hf-file l3.1-8b-rp-ink-q4_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/L3.1-8b-RP-Ink-Q4_K_S-GGUF --hf-file l3.1-8b-rp-ink-q4_k_s.gguf -c 2048
```