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README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- code
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- llama-cpp
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- gguf-my-repo
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datasets:
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- m-a-p/Code-Feedback
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- HuggingFaceTB/cosmopedia-100k
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- LDJnr/Capybara
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- vicgalle/alpaca-gpt4
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- glaiveai/glaive-code-assistant-v2
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- WhiteRabbitNeo/WRN-Chapter-1
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- WhiteRabbitNeo/WRN-Chapter-2
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- m-a-p/CodeFeedback-Filtered-Instruction
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- jondurbin/airoboros-3.2
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- euclaise/WritingPrompts_curated
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- derek-thomas/squad-v1.1-t5-question-generation
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- reinforz/question_generation_data
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- teknium/GPTeacher-General-Instruct
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- dim/roleplay_instruct_v2_final
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- TIGER-Lab/MathInstruct
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- abacusai/SystemChat
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- Mihaiii/OpenHermes-2.5-1k-longest-curated
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license_name: a
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license_link: LICENSE
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---
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# newsletter/NinjaMouse-2.4B-32L-danube-Q6_K-GGUF
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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.
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Refer to the [original model card](https://huggingface.co/trollek/NinjaMouse-2.4B-32L-danube) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew.
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```bash
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brew install ggerganov/ggerganov/llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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CLI:
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```bash
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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"
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```
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Server:
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```bash
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llama-server --hf-repo newsletter/NinjaMouse-2.4B-32L-danube-Q6_K-GGUF --model ninjamouse-2.4b-32l-danube.Q6_K.gguf -c 2048
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```
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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.
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```
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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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```
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