YorkieOH10
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README.md
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---
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license: apache-2.0
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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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- JetBrains/KStack
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results:
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- task:
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type: text-generation
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dataset:
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name: MultiPL-HumanEval (Kotlin)
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type: openai_humaneval
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metrics:
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- name: pass@1
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type: pass@1
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value: 29.19
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---
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# YorkieOH10/CodeLlama-7B-KStack-Q8_0-GGUF
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This model was converted to GGUF format from [`JetBrains/CodeLlama-7B-KStack`](https://huggingface.co/JetBrains/CodeLlama-7B-KStack) 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/JetBrains/CodeLlama-7B-KStack) 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 YorkieOH10/CodeLlama-7B-KStack-Q8_0-GGUF --model codellama-7b-kstack-q8_0.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 YorkieOH10/CodeLlama-7B-KStack-Q8_0-GGUF --model codellama-7b-kstack-q8_0.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 && \
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cd llama.cpp && \
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make && \
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./main -m codellama-7b-kstack-q8_0.gguf -n 128
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```
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