---
license: llama3
license_name: llama3
license_link: LICENSE
library_name: transformers
tags:
- not-for-all-audiences
- mergekit
- llama-cpp
- gguf-my-repo
base_model: crestf411/L3.1-8B-Dark-Planet-Slush
---

# Triangle104/L3.1-8B-Dark-Planet-Slush-Q5_K_M-GGUF
This model was converted to GGUF format from [`crestf411/L3.1-8B-Dark-Planet-Slush`](https://huggingface.co./crestf411/L3.1-8B-Dark-Planet-Slush) 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./crestf411/L3.1-8B-Dark-Planet-Slush) for more details on the model.

---
Model details:
-
This is based on v1.1 and includes a merge with DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B.

Parameter suggestions:
-
I did all my testing with temp 1, min-p 0.1, DRY 0.8. I enabled XTC at higher contexts.

Merge Details
-
This model was merged using the TIES merge method using meta-llama/Llama-3.1-8B as a base.

Configuration
-
The following YAML configuration was used to produce this model:

models:
  - model: stage1-on-instruct
    parameters:
      weight: 1
      density: 1
  - model: stage2-on-stage1
    parameters:
      weight: 1
      density: 1
  - model: DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
    parameters:
      weight: 1
      density: 1
  - model: meta-llama/Llama-3.1-8B-Instruct
    parameters:
      weight: 1.3
      density: 1
merge_method: ties
base_model: meta-llama/Llama-3.1-8B
parameters:
  weight: 1
  density: 1
  normalize: true
  int8_mask: true
tokenizer_source: meta-llama/Llama-3.1-8B-Instruct
dtype: bfloat16

---
## 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-Dark-Planet-Slush-Q5_K_M-GGUF --hf-file l3.1-8b-dark-planet-slush-q5_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/L3.1-8B-Dark-Planet-Slush-Q5_K_M-GGUF --hf-file l3.1-8b-dark-planet-slush-q5_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/L3.1-8B-Dark-Planet-Slush-Q5_K_M-GGUF --hf-file l3.1-8b-dark-planet-slush-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/L3.1-8B-Dark-Planet-Slush-Q5_K_M-GGUF --hf-file l3.1-8b-dark-planet-slush-q5_k_m.gguf -c 2048
```