metadata

base_model: jiyi/hyact-qwen
license: apache-2.0
tags:
  - llama-cpp
  - gguf-my-repo

该模型是基于Qwen2-7B训练的一个针对医学的大语言模型 ⚠️注意训练的语料与精度过低，而且只是一个加了医疗问答的测试版本，尚不支持康复问答，后续会更具现有的语料进行医疗问答训练

我的目标：训练一个针对康复医学领域的全能模型

欢迎感兴趣的朋友一起分享数据集加速模型的训练

jiyi/hyact-qwen-Q4_K_M-GGUF

This model was converted to GGUF format from jiyi/hyact-qwen using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo jiyi/hyact-qwen-Q4_K_M-GGUF --hf-file hyact-qwen-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo jiyi/hyact-qwen-Q4_K_M-GGUF --hf-file hyact-qwen-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

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).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo jiyi/hyact-qwen-Q4_K_M-GGUF --hf-file hyact-qwen-q4_k_m.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo jiyi/hyact-qwen-Q4_K_M-GGUF --hf-file hyact-qwen-q4_k_m.gguf -c 2048