---
license: apache-2.0
language:
- en
- zh
base_model: allura-org/Bigger-Body-12b
library_name: transformers
tags:
- axolotl
- roleplay
- conversational
- chat
- llama-cpp
- gguf-my-repo
---

# Triangle104/Bigger-Body-12b-Q4_K_M-GGUF
This model was converted to GGUF format from [`allura-org/Bigger-Body-12b`](https://huggingface.co/allura-org/Bigger-Body-12b) 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/allura-org/Bigger-Body-12b) for more details on the model.

---
A roleplay-focused pseudo full-finetune of Mistral Nemo Instruct.
The successor to the Ink series.



	
		
	

		Testimonials
	





First impressions (temp 1, min-p .05-.1)


It passes my silly logic tests (read: me trolling random characters)
Haven't seen any slop yet
Writes short and snappy replies
...yet not too short, like Mahou, and can write longer responses if the context warrants it
Follows card formatting instructions


If this holds up to 16K it will be constantly in the hopper alongside
 Mag-Mell for me. I'm biased towards shorter responses with smarts. :)




- Tofumagate




tantalizing writing, leagues better then whatever is available online




- Bowza




Fun to use, nice swipe variation, gives me lots to RP off of. Rarely, it'll start to loop, but a quick swipe fixes no problem.




- AliCat



	
		
	

		Dataset
	



The Bigger Body (referred to as Ink v2.1, because that's still the 
internal name) mix is absolutely disgusting. It's even more cursed than 
the original Ink mix.


(Public) Original Datasets



Fizzarolli/limarp-processed
Norquinal/OpenCAI - two_users split
allura-org/Celeste1.x-data-mixture
mapsila/PIPPA-ShareGPT-formatted-named
allenai/tulu-3-sft-personas-instruction-following
readmehay/medical-01-reasoning-SFT-json
LooksJuicy/ruozhiba
shibing624/roleplay-zh-sharegpt-gpt4-data
CausalLM/Retrieval-SFT-Chat
ToastyPigeon/fujin-filtered-instruct

Recommended Settings
	



Chat template: Mistral v7-tekken (NOT v3-tekken !!!! the main difference is that v7 has specific [SYSTEM_PROMPT] and [/SYSTEM_PROMPT] tags)
Recommended samplers (not the be-all-end-all, try some on your own!):


Temp 1.25 / MinP 0.1



	
		
	

		Hyperparams
	




	
		
	

		General
	



Epochs = 2
LR = 1e-5
LR Scheduler = Cosine
Optimizer = Apollo-mini
Optimizer target modules = all_linear
Effective batch size = 16
Weight Decay = 0.01
Warmup steps = 50
Total steps = 920



	
		
	

		Credits
	



Humongous thanks to the people who created the data. I would credit you all, but that would be cheating ;)
Big thanks to all Allura members for testing and emotional support ilya /platonic

---
## 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/Bigger-Body-12b-Q4_K_M-GGUF --hf-file bigger-body-12b-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Bigger-Body-12b-Q4_K_M-GGUF --hf-file bigger-body-12b-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/Bigger-Body-12b-Q4_K_M-GGUF --hf-file bigger-body-12b-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Bigger-Body-12b-Q4_K_M-GGUF --hf-file bigger-body-12b-q4_k_m.gguf -c 2048
```