File size: 2,209 Bytes
96d02cd dcc75c6 96d02cd dcc75c6 96d02cd dcc75c6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
---
license: apache-2.0
base_model: TheDrummer/Ministrations-8B-v1
tags:
- llama-cpp
- gguf-my-repo
---
# Triangle104/Ministrations-8B-v1-Q4_K_S-GGUF
This model was converted to GGUF format from [`TheDrummer/Ministrations-8B-v1`](https://huggingface.co/TheDrummer/Ministrations-8B-v1) 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/TheDrummer/Ministrations-8B-v1) for more details on the model.
---
Model details:
-
BeaverAI proudly presents...
Ministrations 8B v1
An RP finetune of Ministral 8B!
Supported Chat Templates
-
Metharme (a.k.a. Pygmalion in ST)
Mistral Tekken
You can mix it up and see which works best for you.
Link
-
Original: https://huggingface.co/TheDrummer/Ministrations-8B-v1
Favorite RP Format
-
*action* Dialogue *thoughts* Dialogue *narration* in 1st person PoV
---
## 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/Ministrations-8B-v1-Q4_K_S-GGUF --hf-file ministrations-8b-v1-q4_k_s.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Triangle104/Ministrations-8B-v1-Q4_K_S-GGUF --hf-file ministrations-8b-v1-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/Ministrations-8B-v1-Q4_K_S-GGUF --hf-file ministrations-8b-v1-q4_k_s.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Triangle104/Ministrations-8B-v1-Q4_K_S-GGUF --hf-file ministrations-8b-v1-q4_k_s.gguf -c 2048
``` |