90 lines
1.9 KiB
Markdown
90 lines
1.9 KiB
Markdown
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---
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library_name: transformers
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tags:
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- translation
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- llama-cpp
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- gguf-my-repo
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language:
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- zh
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- en
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- fr
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- pt
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- es
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- ja
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- tr
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- ru
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- ar
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- ko
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- th
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- it
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- de
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- vi
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- ms
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- id
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- tl
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- hi
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- pl
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- cs
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- nl
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- km
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- my
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- fa
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- gu
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- ur
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- te
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- mr
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- he
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- bn
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- ta
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- uk
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- bo
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- kk
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- mn
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- ug
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base_model: tencent/HY-MT1.5-1.8B
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---
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# nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF
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This model was converted to GGUF format from [`tencent/HY-MT1.5-1.8B`](https://huggingface.co/tencent/HY-MT1.5-1.8B) 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/tencent/HY-MT1.5-1.8B) 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 nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.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 nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.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 nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.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 nuupy/HY-MT1.5-1.8B-Q4_K_M-GGUF --hf-file hy-mt1.5-1.8b-q4_k_m.gguf -c 2048
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```
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