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README.md
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---
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license: apache-2.0
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datasets:
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- FreedomIntelligence/ApolloMoEDataset
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language:
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- ar
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- en
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- zh
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- ko
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- ja
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- mn
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- th
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- vi
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- lo
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- mg
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- de
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- pt
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- es
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- fr
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- ru
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- it
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- hr
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- gl
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- cs
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- co
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- la
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- uk
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- bs
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- bg
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- eo
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- sq
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- da
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- sa
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- gn
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- sr
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- sk
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- gd
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- lb
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- hi
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- ku
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- mt
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- he
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- ln
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- bm
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- sw
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- ig
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- rw
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- ha
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metrics:
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- accuracy
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base_model: FreedomIntelligence/Apollo2-7B
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pipeline_tag: question-answering
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tags:
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- biology
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- medical
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- llama-cpp
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- gguf-my-repo
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---
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# nchen909/Apollo2-7B-Q8_0-GGUF
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This model was converted to GGUF format from [`FreedomIntelligence/Apollo2-7B`](https://huggingface.co/FreedomIntelligence/Apollo2-7B) 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/FreedomIntelligence/Apollo2-7B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install 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 nchen909/Apollo2-7B-Q8_0-GGUF --hf-file apollo2-7b-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 nchen909/Apollo2-7B-Q8_0-GGUF --hf-file apollo2-7b-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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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo nchen909/Apollo2-7B-Q8_0-GGUF --hf-file apollo2-7b-q8_0.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo nchen909/Apollo2-7B-Q8_0-GGUF --hf-file apollo2-7b-q8_0.gguf -c 2048
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```
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