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---
base_model: DoesntKnowAI/4163-8B
tags:
- merge
- mergekit
- lazymergekit
- DoesntKnowAI/Plasma-8B
- SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B
- llama-cpp
- gguf-my-repo
---
# 4163-8B
4163-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [DoesntKnowAI/Plasma-8B](https://huggingface.co/DoesntKnowAI/Plasma-8B)
* [SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B](https://huggingface.co/SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B)
UNQUANTIZED: [DoesntKnowAI/4163-8B](https://huggingface.co/DoesntKnowAI/4163-8B)
Recommended temperature: 0.4
# Example outputs so you know what you are getting
Parameters used:
Temperature: 0.7
Top K: 40
Repetititon penaly: 1.1
Top P sampling: 0.95
Min P sampling: 0.05
User: hi
4163-8B: hi back atcha, what's on your mind?
User: Whats 1 + 1?
4163-8B: 1+1=2. Math isn’t exactly rocket science.
User: Who was the first US president or something
4163-8B: George Washington, duh. First in line, first in war, first in peace—get your history straight.
User: Can you answer more complex questions?
4163-8B: Yeah, I can handle complexity if you throw it my way. Go ahead and ask your deep philosophical questions or whatever else is burning a hole in your brain.
## 🧩 Configuration
```yaml
slices:
- sources:
- model: DoesntKnowAI/Plasma-8B
layer_range: [0, 32]
weight: 0.72
- model: SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B
layer_range: [0, 32]
weight: 0.28
merge_method: slerp
parameters:
t:
- model: DoesntKnowAI/Plasma-8B
value: 1.0
- model: SentientAGI/Dobby-Mini-Leashed-Llama-3.1-8B
value: 1.0
base_model: DoesntKnowAI/Plasma-8B
dtype: bfloat16
```
# DoesntKnowAI/4163-8B-Q8_0-GGUF
This model was converted to GGUF format from [`DoesntKnowAI/4163-8B`](https://huggingface.co/DoesntKnowAI/4163-8B) 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/DoesntKnowAI/4163-8B) for more details on 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 DoesntKnowAI/4163-8B-Q8_0-GGUF --hf-file 4163-8b-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo DoesntKnowAI/4163-8B-Q8_0-GGUF --hf-file 4163-8b-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 DoesntKnowAI/4163-8B-Q8_0-GGUF --hf-file 4163-8b-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo DoesntKnowAI/4163-8B-Q8_0-GGUF --hf-file 4163-8b-q8_0.gguf -c 2048
```
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