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README.md
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---
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license: other
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tags:
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- generated_from_trainer
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- axolotl
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- llama-cpp
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- gguf-my-repo
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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- cognitivecomputations/Dolphin-2.9
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- teknium/OpenHermes-2.5
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- m-a-p/CodeFeedback-Filtered-Instruction
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- cognitivecomputations/dolphin-coder
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- cognitivecomputations/samantha-data
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- HuggingFaceH4/ultrachat_200k
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- microsoft/orca-math-word-problems-200k
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- abacusai/SystemChat-1.1
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- Locutusque/function-calling-chatml
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- internlm/Agent-FLAN
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model-index:
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- name: out
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results: []
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---
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# DavidAU/dolphin-2.9-llama3-8b-Q8_0-GGUF
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This model was converted to GGUF format from [`cognitivecomputations/dolphin-2.9-llama3-8b`](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) 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/cognitivecomputations/dolphin-2.9-llama3-8b) 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 DavidAU/dolphin-2.9-llama3-8b-Q8_0-GGUF --model dolphin-2.9-llama3-8b.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 DavidAU/dolphin-2.9-llama3-8b-Q8_0-GGUF --model dolphin-2.9-llama3-8b.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 && cd llama.cpp && make && ./main -m dolphin-2.9-llama3-8b.Q8_0.gguf -n 128
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```
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