README.md

---
language:
- en
library_name: transformers
tags:
- llama
- llama-cpp
- gguf-my-repo
datasets:
- LDJnr/Capybara
- jondurbin/airoboros-3.2
- unalignment/toxic-dpo-v0.1
- LDJnr/Verified-Camel
- HuggingFaceH4/no_robots
- Doctor-Shotgun/no-robots-sharegpt
- Doctor-Shotgun/capybara-sharegpt
inference: false
pipeline_tag: text-generation
---

# DavidAU/TinyLlama-1.1B-32k-Instruct-Q4_K_S-GGUF
This model was converted to GGUF format from [`Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct`](https://huggingface.co/Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct) 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/Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct) 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 DavidAU/TinyLlama-1.1B-32k-Instruct-Q4_K_S-GGUF --model tinyllama-1.1b-32k-instruct.Q4_K_S.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo DavidAU/TinyLlama-1.1B-32k-Instruct-Q4_K_S-GGUF --model tinyllama-1.1b-32k-instruct.Q4_K_S.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 tinyllama-1.1b-32k-instruct.Q4_K_S.gguf -n 128
```