|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: nbeerbower/Mistral-Nemo-Prism-12B-v7 |
|
datasets: |
|
- nbeerbower/Arkhaios-DPO |
|
- nbeerbower/Purpura-DPO |
|
tags: |
|
- llama-cpp |
|
- gguf-my-repo |
|
--- |
|
|
|
# Triangle104/Mistral-Nemo-Prism-12B-v7-Q4_K_S-GGUF |
|
This model was converted to GGUF format from [`nbeerbower/Mistral-Nemo-Prism-12B-v7`](https://huggingface.co/nbeerbower/Mistral-Nemo-Prism-12B-v7) 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/nbeerbower/Mistral-Nemo-Prism-12B-v7) for more details on the model. |
|
|
|
--- |
|
Model details: |
|
- |
|
EXPERIMENTAL MODEL!!! |
|
|
|
Mahou-1.5-mistral-nemo-12B-lorablated finetuned on Arkhaios-DPO and Purpura-DPO. |
|
|
|
The goal was to reduce archaic language and purple prose in a completely uncensored model. |
|
Method |
|
|
|
ORPO tuned with 8x A40 for 10 epochs. |
|
|
|
For this version, beta was increased to 2. |
|
|
|
In conclusion, LoRA does not seem to be able to completely remove some of the language issues deeply embedded in the model. |
|
|
|
--- |
|
## 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/Mistral-Nemo-Prism-12B-v7-Q4_K_S-GGUF --hf-file mistral-nemo-prism-12b-v7-q4_k_s.gguf -p "The meaning to life and the universe is" |
|
``` |
|
|
|
### Server: |
|
```bash |
|
llama-server --hf-repo Triangle104/Mistral-Nemo-Prism-12B-v7-Q4_K_S-GGUF --hf-file mistral-nemo-prism-12b-v7-q4_k_s.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/Mistral-Nemo-Prism-12B-v7-Q4_K_S-GGUF --hf-file mistral-nemo-prism-12b-v7-q4_k_s.gguf -p "The meaning to life and the universe is" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo Triangle104/Mistral-Nemo-Prism-12B-v7-Q4_K_S-GGUF --hf-file mistral-nemo-prism-12b-v7-q4_k_s.gguf -c 2048 |
|
``` |
|
|