transformers gguf biology medical llama-cpp gguf-my-repo question-answering en dataset:argilla/dpo-mix-7k dataset:nvidia/HelpSteer dataset:jondurbin/airoboros-3.2 dataset:hkust-nlp/deita-10k-v0 dataset:LDJnr/Capybara dataset:HPAI-BSC/CareQA dataset:GBaker/MedQA-USMLE-4-options dataset:lukaemon/mmlu dataset:bigbio/pubmed_qa dataset:openlifescienceai/medmcqa dataset:bigbio/med_qa dataset:HPAI-BSC/better-safe-than-sorry dataset:HPAI-BSC/pubmedqa-cot dataset:HPAI-BSC/medmcqa-cot dataset:HPAI-BSC/medqa-cot license:cc-by-nc-4.0 endpoints_compatible region:us conversational
---
datasets:
- argilla/dpo-mix-7k
- nvidia/HelpSteer
- jondurbin/airoboros-3.2
- hkust-nlp/deita-10k-v0
- LDJnr/Capybara
- HPAI-BSC/CareQA
- GBaker/MedQA-USMLE-4-options
- lukaemon/mmlu
- bigbio/pubmed_qa
- openlifescienceai/medmcqa
- bigbio/med_qa
- HPAI-BSC/better-safe-than-sorry
- HPAI-BSC/pubmedqa-cot
- HPAI-BSC/medmcqa-cot
- HPAI-BSC/medqa-cot
language:
- en
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: question-answering
tags:
- biology
- medical
- llama-cpp
- gguf-my-repo
---

# hansmueller464/Llama3-Aloe-8B-Alpha-Q6_K-GGUF
This model was converted to GGUF format from [`HPAI-BSC/Llama3-Aloe-8B-Alpha`](https://huggingface.co/HPAI-BSC/Llama3-Aloe-8B-Alpha) 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/HPAI-BSC/Llama3-Aloe-8B-Alpha) 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 hansmueller464/Llama3-Aloe-8B-Alpha-Q6_K-GGUF --model llama3-aloe-8b-alpha.Q6_K.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo hansmueller464/Llama3-Aloe-8B-Alpha-Q6_K-GGUF --model llama3-aloe-8b-alpha.Q6_K.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 llama3-aloe-8b-alpha.Q6_K.gguf -n 128
```
