Update README.md

README.md

@@ -42,7 +42,7 @@ quantized_by: TheBloke
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 <!-- 200823 -->
 
-I am not the original creator of Llamafile, all credit of LlamaFile goes to Jartine:
+I am not the original creator of llamafile, all credit of llamafile goes to Jartine:
 <!-- README_llamafile.md-about-llamafile end -->
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@@ -61,62 +61,57 @@ I am not the original creator of Llamafile, all credit of LlamaFile goes to Jart
 - LlamaFile version used: [Mozilla-Ocho/llamafile](https://github.com/Mozilla-Ocho/llamafile/tree/8f73d39cf3a767897b8ade6dda45e5744c62356a)
   - Commit message "Fix build ordering issue"
   - Commit hash 8f73d39cf3a767897b8ade6dda45e5744c62356a
+- `.args` content:
+```
+-m
+tinyllama-1.1b-chat-v1.0.{quantization}.gguf
+...
+```
 
+## About llamafile (Modified from [Git README](https://github.com/Mozilla-Ocho/llamafile/tree/8f73d39cf3a767897b8ade6dda45e5744c62356a?tab=readme-ov-file#llamafile))
 
-### How to Use
-
-Here is an edited excerpt of the detailed instruction at the Git repo commit used to build llamafiles in this repository:
-
-> #### Quickstart
-> 
-> The easiest way to try it for yourself is to download our example llamafile.
-> With llamafile, all inference happens locally; no data ever leaves your computer.
-> 
-> 1. Download the llamafile.
-> 
-> 2. Open your computer's terminal.
-> 
-> 3. If you're using macOS, Linux, or BSD, you'll need to grant permission 
-> for your computer to execute this new file. (You only need to do this 
-> once.)
-> 
-> ```sh
-> chmod +x tinyllama-1.1b-chat-v1.0.Q2_K.llamafile
-> ```
-> 
-> 4. If you're on Windows, rename the file by adding ".exe" on the end.
-> 
-> 5. Run the llamafile. e.g.:
-> 
-> ```sh
-> ./tinyllama-1.1b-chat-v1.0.Q2_K.llamafile
-> ```
-> 
-> 6. Your browser should open automatically and display a chat interface. 
-> (If it doesn't, just open your browser and point it at http://localhost:8080.)
-> 
-> 7. When you're done chatting, return to your terminal and hit
-> `Control-C` to shut down llamafile.
+**llamafile lets you distribute and run LLMs with a single file. No installation required. ([announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/))**
 
+Our goal is to make open source large language models much more 
+accessible to both developers and end users. We're doing that by 
+combining [llama.cpp](https://github.com/ggerganov/llama.cpp) with [Cosmopolitan Libc](https://github.com/jart/cosmopolitan) into one 
+framework that collapses all the complexity of LLMs down to 
+a single-file executable (called a "llamafile") that runs
+locally on most computers, with no installation.
 
-Please note that LlamaFile is still under active development. Some methods may be not be compatible with the most recent documents.
+## How to Use (Modified from [Git README](https://github.com/Mozilla-Ocho/llamafile/tree/8f73d39cf3a767897b8ade6dda45e5744c62356a?tab=readme-ov-file#quickstart))
 
-### About llamafile
+The easiest way to try it for yourself is to download our example llamafile.
+With llamafile, all inference happens locally; no data ever leaves your computer.
 
-llamafile is a new format introduced by Mozilla Ocho on Nov 20th 2023. It uses Cosmopolitan Libc to turn LLM weights into runnable llama.cpp binaries that run on the stock installs of six OSes for both ARM64 and AMD64.
+1. Download the llamafile.
 
-Here is an incomplete list of clients and libraries that are known to support llamafile:
+2. Open your computer's terminal.
 
-* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for llamafile. Offers a CLI and a server option.
-* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
-* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
-* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
-* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
-* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
-* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
-* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
-* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
-* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
+3. If you're using macOS, Linux, or BSD, you'll need to grant permission 
+for your computer to execute this new file. (You only need to do this 
+once.)
+
+```sh
+chmod +x tinyllama-1.1b-chat-v1.0.Q2_K.llamafile
+```
+
+4. If you're on Windows, rename the file by adding ".exe" on the end.
+
+5. Run the llamafile. e.g.:
+
+```sh
+./tinyllama-1.1b-chat-v1.0.Q2_K.llamafile
+```
+
+6. Your browser should open automatically and display a chat interface. 
+(If it doesn't, just open your browser and point it at http://localhost:8080.)
+
+7. When you're done chatting, return to your terminal and hit
+`Control-C` to shut down llamafile.
+
+
+Please note that LlamaFile is still under active development. Some methods may be not be compatible with the most recent documents.
 
 # Original model card: TheBloke's Tinyllama 1.1B Chat v1.0 GGUF
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