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---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- code
- llama-cpp
- gguf-my-repo
datasets:
- m-a-p/Code-Feedback
- HuggingFaceTB/cosmopedia-100k
- LDJnr/Capybara
- vicgalle/alpaca-gpt4
- glaiveai/glaive-code-assistant-v2
- WhiteRabbitNeo/WRN-Chapter-1
- WhiteRabbitNeo/WRN-Chapter-2
- m-a-p/CodeFeedback-Filtered-Instruction
- jondurbin/airoboros-3.2
- euclaise/WritingPrompts_curated
- derek-thomas/squad-v1.1-t5-question-generation
- reinforz/question_generation_data
- teknium/GPTeacher-General-Instruct
- dim/roleplay_instruct_v2_final
- TIGER-Lab/MathInstruct
- abacusai/SystemChat
- Mihaiii/OpenHermes-2.5-1k-longest-curated
license_name: a
license_link: LICENSE
---
# newsletter/NinjaMouse-2.4B-32L-danube-Q6_K-GGUF
This model was converted to GGUF format from [`trollek/NinjaMouse-2.4B-32L-danube`](https://huggingface.co/trollek/NinjaMouse-2.4B-32L-danube) 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/trollek/NinjaMouse-2.4B-32L-danube) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew.
```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.
CLI:
```bash
llama-cli --hf-repo newsletter/NinjaMouse-2.4B-32L-danube-Q6_K-GGUF --model ninjamouse-2.4b-32l-danube.Q6_K.gguf -p "The meaning to life and the universe is"
```
Server:
```bash
llama-server --hf-repo newsletter/NinjaMouse-2.4B-32L-danube-Q6_K-GGUF --model ninjamouse-2.4b-32l-danube.Q6_K.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.
```
git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m ninjamouse-2.4b-32l-danube.Q6_K.gguf -n 128
```
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