Update README.md

README.md

@@ -12,49 +12,21 @@ tags:
 - french
 - chocolatine
 - llama-cpp
-- gguf-my-repo
 ---
 
-# jpacifico/Chocolatine-3B-Instruct-DPO-Revised-Q4_K_M-GGUF
-This model was converted to GGUF format from [`jpacifico/Chocolatine-3B-Instruct-DPO-Revised`](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-Revised) 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/jpacifico/Chocolatine-3B-Instruct-DPO-Revised) for more details on the model.
+# Chocolatine-3B-Instruct-DPO-Revised-Q4_K_M-GGUF
+Quantized q4_k_m GGUF version of the original model [`Chocolatine-3B-Instruct-DPO-Revised`](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-Revised)  
+can be used on a CPU device, compatible llama.cpp,  
+now supported architecture by LM Studio.  
+Also ready for Raspberry Pi 5 8Gb.  
 
-## Use with llama.cpp
-Install llama.cpp through brew (works on Mac and Linux)
 
-```bash
-brew install llama.cpp
+### Limitations
 
-```
-Invoke the llama.cpp server or the CLI.
+The Chocolatine model is a quick demonstration that a base model can be easily fine-tuned to achieve compelling performance.  
+It does not have any moderation mechanism.  
 
-### CLI:
-```bash
-llama-cli --hf-repo jpacifico/Chocolatine-3B-Instruct-DPO-Revised-Q4_K_M-GGUF --hf-file chocolatine-3b-instruct-dpo-revised-q4_k_m.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo jpacifico/Chocolatine-3B-Instruct-DPO-Revised-Q4_K_M-GGUF --hf-file chocolatine-3b-instruct-dpo-revised-q4_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 jpacifico/Chocolatine-3B-Instruct-DPO-Revised-Q4_K_M-GGUF --hf-file chocolatine-3b-instruct-dpo-revised-q4_k_m.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo jpacifico/Chocolatine-3B-Instruct-DPO-Revised-Q4_K_M-GGUF --hf-file chocolatine-3b-instruct-dpo-revised-q4_k_m.gguf -c 2048
-```
+- **Developed by:** Jonathan Pacifico, 2024
+- **Model type:** LLM 
+- **Language(s) (NLP):** French, English
+- **License:** MIT