---
base_model:
- Novaciano/GRONEKILLER_REBORN-3.2-1B
- jahyungu/Llama-3.2-1B-Instruct_Open-Critic-GPT_cluster9
- minions-stanford/minion-llama-3.2-1B-instruct
- nqdhocai/LogicLlama-3.2-1B-MALLS-v1
- mveroe/Llama-3.2-1B-Instruct-distillation-alpaca-3.0-HarmfulLLMLat-sauce2
- thuanan/Llama-3.2-1B-RLHF-2k-vi-alpaca
library_name: transformers
tags:
- not-for-all-audiences
- nsfw
- 4-bit
- 1b
- uncensored
- abliterated
- llama
- rp
- roleplay
license: apache-2.0
language:
- en
- es
---
# NSFW Ameba 3.2 1B
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
---
## 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 Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-q5_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-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 Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo Novaciano/Ameba-3.2-1B-Q5_K_M-GGUF --hf-file ameba-3.2-1b-q5_k_m.gguf -c 2048
```