File size: 1,519 Bytes
19340de |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
library_name: transformers
tags:
- '#mergekit '
- '#arcee-ai'
- llama-cpp
- gguf-my-repo
datasets:
- arcee-ai/sec-data-mini
---
# Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF
This model was converted to GGUF format from [`arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer`](https://huggingface.co/arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer) 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/arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer) 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 Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF --model mistral-7b-instruct-v0.2-sliced-24-layer.Q3_K_M.gguf -p "The meaning to life and the universe is"
```
Server:
```bash
llama-server --hf-repo Aryanne/Mistral-7B-Instruct-v0.2-sliced-24-layer-Q3_K_M-GGUF --model mistral-7b-instruct-v0.2-sliced-24-layer.Q3_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 mistral-7b-instruct-v0.2-sliced-24-layer.Q3_K_M.gguf -n 128
```
|