|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: DoppelReflEx/MN-12B-Mimicore-WhiteSnake |
|
library_name: transformers |
|
tags: |
|
- mergekit |
|
- merge |
|
- llama-cpp |
|
- gguf-my-repo |
|
--- |
|
|
|
# Triangle104/MN-12B-Mimicore-WhiteSnake-Q4_K_M-GGUF |
|
This model was converted to GGUF format from [`DoppelReflEx/MN-12B-Mimicore-WhiteSnake`](https://huggingface.co/DoppelReflEx/MN-12B-Mimicore-WhiteSnake) 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/DoppelReflEx/MN-12B-Mimicore-WhiteSnake) for more details on the model. |
|
|
|
--- |
|
Model details: |
|
- |
|
Better version of GreenSnake, not too much different in OpenLLM |
|
LeaderBoard scores. Merge with |
|
cgato/Nemo-12b-Humanize-KTO-Experimental-Latest so this model could |
|
perform 'human response'. |
|
|
|
This merge model is a gift for Lunar New Year, haha. Enjoy it. |
|
|
|
Good for RP, ERP, Story Telling. |
|
|
|
PS: It's don't have cgato/Nemo-12b-Humanize-KTO-Experimental-Latest Tokenization issue. |
|
|
|
Update: Still have cgato/Nemo-12b-Humanize-KTO-Experimental-Latest |
|
Tokenization issue, but randomly occur in rare rate. If you are |
|
experiencing this issue, just press re-generate to reroll other |
|
message/response. |
|
|
|
Chat Format? ChatML of course! |
|
|
|
Models Merged |
|
|
|
The following models were included in the merge: |
|
|
|
cgato/Nemo-12b-Humanize-KTO-Experimental-Latest |
|
DoppelReflEx/MN-12B-Mimicore-GreenSnake |
|
|
|
Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
models: |
|
- model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest |
|
parameters: |
|
density: 0.9 |
|
weight: 1 |
|
- model: DoppelReflEx/MN-12B-Mimicore-GreenSnake |
|
parameters: |
|
density: 0.6 |
|
weight: 0.8 |
|
merge_method: dare_ties |
|
base_model: IntervitensInc/Mistral-Nemo-Base-2407-chatml |
|
tokenizer_source: base |
|
|
|
--- |
|
## 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/MN-12B-Mimicore-WhiteSnake-Q4_K_M-GGUF --hf-file mn-12b-mimicore-whitesnake-q4_k_m.gguf -p "The meaning to life and the universe is" |
|
``` |
|
|
|
### Server: |
|
```bash |
|
llama-server --hf-repo Triangle104/MN-12B-Mimicore-WhiteSnake-Q4_K_M-GGUF --hf-file mn-12b-mimicore-whitesnake-q4_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/MN-12B-Mimicore-WhiteSnake-Q4_K_M-GGUF --hf-file mn-12b-mimicore-whitesnake-q4_k_m.gguf -p "The meaning to life and the universe is" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo Triangle104/MN-12B-Mimicore-WhiteSnake-Q4_K_M-GGUF --hf-file mn-12b-mimicore-whitesnake-q4_k_m.gguf -c 2048 |
|
``` |
|
|
