Update README.md

README.md

@@ -1,3 +1,42 @@
----
-license: llama3.1
----
+---
+license: llama3.1
+pipeline_tag: text-generation
+base_model: scb10x/llama3.1-typhoon2-8b-instruct
+tags:
+- llama-cpp
+- gguf-my-repo
+---
+# Float16-cloud/llama3.1-typhoon2-8b-instruct-gguf
+This model was converted to GGUF format from [`scb10x/llama3.1-typhoon2-8b-instruct`](https://huggingface.co/scb10x/llama3.1-typhoon2-8b-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/scb10x/llama3.1-typhoon2-8b-instruct) 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 Float16-cloud/llama3.1-typhoon2-8b-instruct-gguf --hf-file llama3.1-typhoon2-8b-instruct-iq4_nl.gguf -p "The meaning to life and the universe is"
+```
+### Server:
+```bash
+llama-server --hf-repo Float16-cloud/llama3.1-typhoon2-8b-instruct-gguf --hf-file llama3.1-typhoon2-8b-instruct-iq4_nl.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 Float16-cloud/llama3.1-typhoon2-8b-instruct-gguf --hf-file llama3.1-typhoon2-8b-instruct-iq4_nl.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Float16-cloud/llama3.1-typhoon2-8b-instruct-gguf --hf-file llama3.1-typhoon2-8b-instruct-iq4_nl.gguf -c 2048
+```