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README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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- llama-cpp
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- gguf-my-repo
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base_model: alnrg2arg/blockchainlabs_7B_merged_test2_4
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datasets:
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- NeuralNovel/Neural-Story-v1
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model-index:
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- name: qlora-out
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results: []
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---
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# DavidAU/Valor-7B-v0.1-Q6_K-GGUF
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This model was converted to GGUF format from [`NeuralNovel/Valor-7B-v0.1`](https://huggingface.co/NeuralNovel/Valor-7B-v0.1) 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/NeuralNovel/Valor-7B-v0.1) 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/Valor-7B-v0.1-Q6_K-GGUF --model valor-7b-v0.1.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 DavidAU/Valor-7B-v0.1-Q6_K-GGUF --model valor-7b-v0.1.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 valor-7b-v0.1.Q6_K.gguf -n 128
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```
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