Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,67 @@
+---
+base_model: google/codegemma-1.1-7b-it
+library_name: transformers
+license: gemma
+license_link: https://ai.google.dev/gemma/terms
+pipeline_tag: text-generation
+tags:
+- llama-cpp
+- gguf-my-repo
+extra_gated_heading: Access CodeGemma on Hugging Face
+extra_gated_prompt: To access CodeGemma on Hugging Face, you’re required to review
+  and agree to Google’s usage license. To do this, please ensure you’re logged-in
+  to Hugging Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+widget:
+- text: '<start_of_turn>user Write a Python function to calculate the nth fibonacci
+    number.<end_of_turn> <start_of_turn>model
+
+    '
+inference:
+  parameters:
+    max_new_tokens: 200
+---
+
+# jacobcarajo/codegemma-1.1-7b-it-Q5_K_M-GGUF
+This model was converted to GGUF format from [`google/codegemma-1.1-7b-it`](https://huggingface.co/google/codegemma-1.1-7b-it) 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/google/codegemma-1.1-7b-it) 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 jacobcarajo/codegemma-1.1-7b-it-Q5_K_M-GGUF --hf-file codegemma-1.1-7b-it-q5_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo jacobcarajo/codegemma-1.1-7b-it-Q5_K_M-GGUF --hf-file codegemma-1.1-7b-it-q5_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.
+
+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 jacobcarajo/codegemma-1.1-7b-it-Q5_K_M-GGUF --hf-file codegemma-1.1-7b-it-q5_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo jacobcarajo/codegemma-1.1-7b-it-Q5_K_M-GGUF --hf-file codegemma-1.1-7b-it-q5_k_m.gguf -c 2048
+```