|
--- |
|
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`](https://huggingface.co/jiyi/hyact-qwen) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
|
Refer to the [original model card](https://huggingface.co/jiyi/hyact-qwen) for more details on the model. |
|
|
|
## Use with llama.cpp |
|
Install llama.cpp through brew (works on Mac and Linux) |
|
|
|
```bash |
|
brew install llama.cpp |
|
|
|
``` |
|
Invoke the llama.cpp server or the CLI. |
|
|
|
### CLI: |
|
```bash |
|
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: |
|
```bash |
|
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](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) 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" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo jiyi/hyact-qwen-Q4_K_M-GGUF --hf-file hyact-qwen-q4_k_m.gguf -c 2048 |
|
``` |
|
|