|
--- |
|
base_model: Locutusque/Apollo-2.0-Llama-3.1-8B |
|
datasets: |
|
- Locutusque/ApolloRP-2.0-SFT |
|
language: |
|
- en |
|
library_name: transformers |
|
license: llama3.1 |
|
pipeline_tag: text-generation |
|
tags: |
|
- not-for-all-audiences |
|
- llama-cpp |
|
- gguf-my-repo |
|
--- |
|
|
|
# Triangle104/Apollo-2.0-Llama-3.1-8B-Q5_K_M-GGUF |
|
This model was converted to GGUF format from [`Locutusque/Apollo-2.0-Llama-3.1-8B`](https://huggingface.co/Locutusque/Apollo-2.0-Llama-3.1-8B) 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/Locutusque/Apollo-2.0-Llama-3.1-8B) for more details on the model. |
|
|
|
--- |
|
Model Details |
|
- |
|
|
|
Fine-tuned Llama-3.1-8B on Locutusque/ApolloRP-2.0-SFT. Results in a good roleplaying language model, that isn't dumb. |
|
|
|
Developed by: Locutusque |
|
Model type: Llama3.1 |
|
Language(s) (NLP): English |
|
License: Llama 3.1 Community License Agreement |
|
|
|
Model Sources [optional] |
|
|
|
Demo: https://huggingface.co/spaces/Locutusque/Locutusque-Models |
|
|
|
Direct Use |
|
|
|
RP/ERP, instruction following, conversation, etc |
|
Bias, Risks, and Limitations |
|
|
|
This model is completely uncensored - use at your own risk. |
|
Recommendations |
|
|
|
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
|
Training Details |
|
Training Data |
|
|
|
Locutusque/ApolloRP-2.0-SFT |
|
|
|
The training data is cleaned from refusals, and "slop". |
|
Training Hyperparameters |
|
|
|
Training regime: bf16 non-mixed precision |
|
|
|
--- |
|
|
|
## 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/Apollo-2.0-Llama-3.1-8B-Q5_K_M-GGUF --hf-file apollo-2.0-llama-3.1-8b-q5_k_m.gguf -p "The meaning to life and the universe is" |
|
``` |
|
|
|
### Server: |
|
```bash |
|
llama-server --hf-repo Triangle104/Apollo-2.0-Llama-3.1-8B-Q5_K_M-GGUF --hf-file apollo-2.0-llama-3.1-8b-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/Apollo-2.0-Llama-3.1-8B-Q5_K_M-GGUF --hf-file apollo-2.0-llama-3.1-8b-q5_k_m.gguf -p "The meaning to life and the universe is" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo Triangle104/Apollo-2.0-Llama-3.1-8B-Q5_K_M-GGUF --hf-file apollo-2.0-llama-3.1-8b-q5_k_m.gguf -c 2048 |
|
``` |
|
|
