gguf medical llama-cpp gguf-my-repo en dataset:Open-Orca/OpenOrca dataset:pubmed dataset:medmcqa dataset:maximegmd/medqa_alpaca_format base_model:mistralai/Mistral-7B-v0.1 base_model:quantized:mistralai/Mistral-7B-v0.1 license:apache-2.0 endpoints_compatible region:us conversational
---
base_model: mistralai/Mistral-7B-v0.1
datasets:
- Open-Orca/OpenOrca
- pubmed
- medmcqa
- maximegmd/medqa_alpaca_format
language:
- en
license: apache-2.0
metrics:
- accuracy
tags:
- medical
- llama-cpp
- gguf-my-repo
tag: text-generation
---

# hus960/base-7b-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from [`internistai/base-7b-v0.2`](https://huggingface.co/internistai/base-7b-v0.2) 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/internistai/base-7b-v0.2) for more details on the model.
## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
llama-cli --hf-repo hus960/base-7b-v0.2-Q4_K_M-GGUF --model base-7b-v0.2.Q4_K_M.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo hus960/base-7b-v0.2-Q4_K_M-GGUF --model base-7b-v0.2.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.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m base-7b-v0.2.Q4_K_M.gguf -n 128
```
