Update README.md

README.md

@@ -25,9 +25,12 @@ license: apache-2.0
 
 These files are **experimental** GGML format model files for [Falcon 40B Instruct](https://huggingface.co/tiiuae/falcon-40b-instruct).
 
-These GGML files will **not** work in llama.cpp, and at the time of writing they will not work with any UI or library. They cannot be used from Python code.
+They cannot be used with text-generation-webui, llama.cpp, or KoboldCpp at this time.
 
-They can be used with a new fork of llama.cpp that adds Falcon GGML support: [cmp-nc/ggllm.cpp](https://github.com/cmp-nct/ggllm.cpp)
+They can be used with:
+* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui).
+* The ctransformers Python library, which includes LangChain support: [ctransformers](https://github.com/marella/ctransformers).
+* A new fork of llama.cpp that introduced this new Falcon GGML support: [cmp-nc/ggllm.cpp](https://github.com/cmp-nct/ggllm.cpp).
 
 ## Repositories available
 
@@ -35,11 +38,15 @@ They can be used with a new fork of llama.cpp that adds Falcon GGML support: [cm
 * [3-bit GPTQ model for GPU inference](https://huggingface.co/TheBloke/falcon-40b-instruct-3bit-GPTQ)
 * [2, 3, 4, 5, 6, 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/falcon-40b-instruct-GGML)
 * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/tiiuae/falcon-40b-instruct)
-
+  
 <!-- compatibility_ggml start -->
 ## Compatibility
 
-To build cmp-nct's fork of llama.cpp with Falcon 40B support plus preliminary CUDA acceleration, please try the following steps:
+The recommended UI for these GGMLs is [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui). Preliminary CUDA GPU acceleration is provided.
+
+For use from Python code, use [ctransformers](https://github.com/marella/ctransformers). Again, with preliminary CUDA GPU acceleration
+
+Or to build cmp-nct's fork of llama.cpp with Falcon 7B support plus preliminary CUDA acceleration, please try the following steps:
 
 ```
 git clone https://github.com/cmp-nct/ggllm.cpp
@@ -51,7 +58,7 @@ Compiling on Windows: developer cmp-nct notes: 'I personally compile it using VS
 
 Once compiled you can then use `bin/falcon_main` just like you would use llama.cpp. For example:
 ```
-bin/falcon_main -t 8 -ngl 100 -b 1 -m falcon40b-instruct.ggmlv3.q3_K_S.bin -p "What is a falcon?\n### Response:"
+bin/falcon_main -t 8 -ngl 100 -b 1 -m falcon7b-instruct.ggmlv3.q4_0.bin -p "What is a falcon?\n### Response:"
 ```
 
 You can specify `-ngl 100` regardles of your VRAM, as it will automatically detect how much VRAM is available to be used.