Update README.md

README.md

@@ -4,48 +4,11 @@ library_name: transformers
 tags:
 - llama-cpp
 - gguf-my-repo
+license: apache-2.0
+language:
+- en
+pipeline_tag: question-answering
 ---
+<b>Description</b>
 
-# zachaman/phi3-splendidglitter11-merged-Q8_0-GGUF
-This model was converted to GGUF format from [`zachaman/phi3-splendidglitter11-merged`](https://huggingface.co/zachaman/phi3-splendidglitter11-merged) 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/zachaman/phi3-splendidglitter11-merged) 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 zachaman/phi3-splendidglitter11-merged-Q8_0-GGUF --hf-file phi3-splendidglitter11-merged-q8_0.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo zachaman/phi3-splendidglitter11-merged-Q8_0-GGUF --hf-file phi3-splendidglitter11-merged-q8_0.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 zachaman/phi3-splendidglitter11-merged-Q8_0-GGUF --hf-file phi3-splendidglitter11-merged-q8_0.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo zachaman/phi3-splendidglitter11-merged-Q8_0-GGUF --hf-file phi3-splendidglitter11-merged-q8_0.gguf -c 2048
-```
+This model is a fine-tuned version of Microsoft's phi-3-medium-instruct (4k context), created using QLoRA on a 900k token private Chemical Engineering dataset on Unit Operations (topics including fluid mechanics revision, heat exchange, absorption, distillation, and adsorption). The GGUF model was converted using llama.cpp (on the HF Space 'gguf-my-repo'). Its intended use is for research and training.