Triangle104/Llama-3.1-128k-Dark-Planet-Uncensored-8B-Q4_K_S-GGUF

This model was converted to GGUF format from DavidAU/Llama-3.1-128k-Dark-Planet-Uncensored-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.


It is a LLama 3.1 model, max context of 128k, with additional de-censoring as well as additional steps to improve generation and re-mastered source and ggufs in float 32 (32 bit precision).

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 Llama 3 template and/or "Command-R" template.

Suggest a context window of at least 8k, 16K is better... as this model will generate long outputs unless you set a hard limit.

Likewise, as this is an instruct model - the more instructions in your prompt and/or system prompt - the greater the output quality.

IE: Less "guessing" equals far higher quality.


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-3.1-128k-Dark-Planet-Uncensored-8B-Q4_K_S-GGUF --hf-file llama-3.1-128k-dark-planet-uncensored-8b-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Llama-3.1-128k-Dark-Planet-Uncensored-8B-Q4_K_S-GGUF --hf-file llama-3.1-128k-dark-planet-uncensored-8b-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-3.1-128k-Dark-Planet-Uncensored-8B-Q4_K_S-GGUF --hf-file llama-3.1-128k-dark-planet-uncensored-8b-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Llama-3.1-128k-Dark-Planet-Uncensored-8B-Q4_K_S-GGUF --hf-file llama-3.1-128k-dark-planet-uncensored-8b-q4_k_s.gguf -c 2048
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