metadata

base_model: Casual-Autopsy/L3-Super-Nova-RP-8B
language:
  - en
library_name: transformers
license: llama3
pipeline_tag: text-generation
tags:
  - mergekit
  - merge
  - multi-step merge
  - not-for-all-audiences
  - nsfw
  - rp
  - roleplay
  - role-play
  - summarization
  - emotion classification
  - llama-cpp
  - gguf-my-repo

s6135/L3-Super-Nova-RP-8B-Q4_K_M-GGUF

This model was converted to GGUF format from Casual-Autopsy/L3-Super-Nova-RP-8B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

In text-generation-webui

To download from the main branch, enter the following in the "Download model" box.

s6135/L3-Super-Nova-RP-8B-Q4_K_M-GGUF

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 s6135/L3-Super-Nova-RP-8B-Q4_K_M-GGUF --hf-file l3-super-nova-rp-8b-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo s6135/L3-Super-Nova-RP-8B-Q4_K_M-GGUF --hf-file l3-super-nova-rp-8b-q4_k_m.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 s6135/L3-Super-Nova-RP-8B-Q4_K_M-GGUF --hf-file l3-super-nova-rp-8b-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo s6135/L3-Super-Nova-RP-8B-Q4_K_M-GGUF --hf-file l3-super-nova-rp-8b-q4_k_m.gguf -c 2048