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---
base_model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
license: llama3.1
tags:
- llama-cpp
- gguf-my-repo
---
# Triangle104/Llama-3.1-8B-ArliAI-RPMax-v1.2-Q8_0-GGUF
This model was converted to GGUF format from [`ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2`](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2) 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/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2) for more details on the model.
---
Model details:
-
Llama-3.1-8B-ArliAI-RPMax-v1.2
=====================================
RPMax is a series of models that are trained on a diverse set of curated creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.
Early tests by users mentioned that these models does not feel like any other RP models, having a different style and generally doesn't feel in-bred.
You can access the model at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/
We also have a models ranking page at https://www.arliai.com/models-ranking
Ask questions in our new Discord Server! https://discord.com/invite/t75KbPgwhk
Model Description
Llama-3.1-8B-ArliAI-RPMax-v1.2 is a variant of the Meta-Llama-3.1-8B model.
v1.2 update is a retrain using an incremental improvement of the RPMax dataset which dedups the dataset even more and better filtering to cutout irrelevant description text that came from card sharing sites.
Specs
Context Length: 128K
Parameters: 8B
Training Details
Sequence Length: 8192
Training Duration: Approximately 1 day on 2x3090Ti
Epochs: 1 epoch training for minimized repetition sickness
LORA: 64-rank 128-alpha, resulting in ~2% trainable weights
Learning Rate: 0.00001
Gradient accumulation: Very low 32 for better learning.
Quantization
The model is available in quantized formats:
We recommend using full weights or GPTQ
FP16: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
GGUF: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2-GGUF
Suggested Prompt Format
Llama 3 Instruct Format
Example:
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are [character]. You have a personality of [personality description]. [Describe scenario]<|eot_id|><|start_header_id|>user<|end_header_id|>
{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
---
## 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/Llama-3.1-8B-ArliAI-RPMax-v1.2-Q8_0-GGUF --hf-file llama-3.1-8b-arliai-rpmax-v1.2-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Triangle104/Llama-3.1-8B-ArliAI-RPMax-v1.2-Q8_0-GGUF --hf-file llama-3.1-8b-arliai-rpmax-v1.2-q8_0.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/Llama-3.1-8B-ArliAI-RPMax-v1.2-Q8_0-GGUF --hf-file llama-3.1-8b-arliai-rpmax-v1.2-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Triangle104/Llama-3.1-8B-ArliAI-RPMax-v1.2-Q8_0-GGUF --hf-file llama-3.1-8b-arliai-rpmax-v1.2-q8_0.gguf -c 2048
```
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