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Triangle104
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Silver-Sun-11B-Q5_K_M-GGUF

GGUF
Merge
llama
Not-For-All-Audiences
mergekit
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Silver-Sun-11B-Q5_K_M-GGUF
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---
license: other
tags:
- merge
- llama
- not-for-all-audiences
- mergekit
- llama-cpp
- gguf-my-repo
base_model: ABX-AI/Silver-Sun-11B
---

# Triangle104/Silver-Sun-11B-Q5_K_M-GGUF
This model was converted to GGUF format from [`ABX-AI/Silver-Sun-11B`](https://huggingface.co/ABX-AI/Silver-Sun-11B) 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/ABX-AI/Silver-Sun-11B) for more details on the model.

---
Model details:
-
Silver-Sun-11B

I'd like to experiment more with merging 11B, hopefully adding more 
options of this weight class.
This model is good at writing and reasoning, with a preference for more 
profane NSFW language when the appropriate cards are used.
I've been having fun with it so far, although at times it can be a bit 
blunt, although some may prefer that. It's also highly uncensored.

Works best with Alpaca instruction presets.

		Merge Details
	



This is a merge of pre-trained language models created using mergekit.



	
		
	

		Merge Method
	



This model was merged using the SLERP merge method.



	
		
	

		Models Merged
	



The following models were included in the merge:

ABX-AI/Solstice-FKL-11B

A mixture of Sao10K/Solstice-11B-v1 and saishf/Fimbulvetr-Kuro-Lotus-10.7B

Himitsui/Kaiju-11B

---
## 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/Silver-Sun-11B-Q5_K_M-GGUF --hf-file silver-sun-11b-q5_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Silver-Sun-11B-Q5_K_M-GGUF --hf-file silver-sun-11b-q5_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/Silver-Sun-11B-Q5_K_M-GGUF --hf-file silver-sun-11b-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Silver-Sun-11B-Q5_K_M-GGUF --hf-file silver-sun-11b-q5_k_m.gguf -c 2048
```