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README.md
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---
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license: apache-2.0
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library_name: transformers
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tags:
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- llama-cpp
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- gguf-my-repo
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datasets:
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- cerebras/SlimPajama-627B
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- HuggingFaceH4/ultrachat_200k
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- hkust-nlp/deita-10k-v0
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- Open-Orca/SlimOrca-Dedup
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- cognitivecomputations/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
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- HuggingFaceH4/capybara
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- meta-math/MetaMathQA
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- argilla/ultrafeedback-binarized-preferences-cleaned
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- Intel/orca_dpo_pairs
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- alexredna/oasst2_dpo_pairs
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pipeline_tag: text-generation
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---
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# mudler/prem-1B-chat-Q4_0-GGUF
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This model was converted to GGUF format from [`premai-io/prem-1B-chat`](https://huggingface.co/premai-io/prem-1B-chat) 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/premai-io/prem-1B-chat) 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 mudler/prem-1B-chat-Q4_0-GGUF --model prem-1b-chat.Q4_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 mudler/prem-1B-chat-Q4_0-GGUF --model prem-1b-chat.Q4_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 prem-1b-chat.Q4_0.gguf -n 128
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```
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