metadata

license: apache-2.0
language:
  - en
tags:
  - 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
  - llama-3.1
  - llama 3.1
  - llama3.1
  - enhanced quants
  - max quants
  - maxcpu quants
  - horror
  - finetune
  - merge
  - not-for-all-audiences
  - llama-cpp
  - gguf-my-repo
pipeline_tag: text-generation
base_model: DavidAU/Llama-3.1-Dark-Planet-8B-SuperNova

Triangle104/Llama-3.1-Dark-Planet-8B-SuperNova-Q4_K_S-GGUF

This model was converted to GGUF format from DavidAU/Llama-3.1-Dark-Planet-8B-SuperNova using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

This version of Dark Planet has been enhanced and upgraded with "SuperNova", which enhances overall performance and extends context to 128k (131,072).

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)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Llama-3.1-Dark-Planet-8B-SuperNova-Q4_K_S-GGUF --hf-file llama-3.1-dark-planet-8b-supernova-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Llama-3.1-Dark-Planet-8B-SuperNova-Q4_K_S-GGUF --hf-file llama-3.1-dark-planet-8b-supernova-q4_k_s.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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-Dark-Planet-8B-SuperNova-Q4_K_S-GGUF --hf-file llama-3.1-dark-planet-8b-supernova-q4_k_s.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Triangle104/Llama-3.1-Dark-Planet-8B-SuperNova-Q4_K_S-GGUF --hf-file llama-3.1-dark-planet-8b-supernova-q4_k_s.gguf -c 2048