Nits found in binary renames

README.md

@@ -733,7 +733,7 @@ Here is an example of a few-shot interaction, invoked with the command
 ./llama-cli -m ./models/13B/ggml-model-q4_0.gguf -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt
 ```
 
-Note the use of `--color` to distinguish between user input and generated text. Other parameters are explained in more detail in the [README](examples/main/README.md) for the `main` example program.
+Note the use of `--color` to distinguish between user input and generated text. Other parameters are explained in more detail in the [README](examples/main/README.md) for the `llama-cli` example program.
 
 ![image](https://user-images.githubusercontent.com/1991296/224575029-2af3c7dc-5a65-4f64-a6bb-517a532aea38.png)
 
@@ -958,7 +958,7 @@ docker run --gpus all -v /path/to/models:/models local/llama.cpp:server-cuda -m
 
 ### Docs
 
-- [main](./examples/main/README.md)
+- [main (cli)](./examples/main/README.md)
 - [server](./examples/server/README.md)
 - [jeopardy](./examples/jeopardy/README.md)
 - [BLIS](./docs/BLIS.md)

docs/HOWTO-add-model.md

@@ -100,7 +100,7 @@ Have a look at existing implementation like `build_llama`, `build_dbrx` or `buil
 
 When implementing a new graph, please note that the underlying `ggml` backends might not support them all, support for missing backend operations can be added in another PR.
 
-Note: to debug the inference graph: you can use [eval-callback](../examples/eval-callback).
+Note: to debug the inference graph: you can use [llama-eval-callback](../examples/eval-callback).
 
 ## GGUF specification
 

examples/eval-callback/README.md

@@ -6,7 +6,7 @@ It simply prints to the console all operations and tensor data.
 Usage:
 
 ```shell
-eval-callback \
+llama-eval-callback \
   --hf-repo ggml-org/models \
   --hf-file phi-2/ggml-model-q4_0.gguf \
   --model phi-2-q4_0.gguf \

examples/export-lora/README.md

@@ -3,7 +3,7 @@
 Apply LORA adapters to base model and export the resulting model.
 
 ```
-usage: export-lora [options]
+usage: llama-export-lora [options]
 
 options:
   -h, --help                         show this help message and exit

examples/lookup/lookup-merge.cpp

@@ -11,14 +11,14 @@
 #include <unordered_map>
 #include <vector>
 
-static void print_usage() {
+static void print_usage(char* argv0) {
     fprintf(stderr, "Merges multiple lookup cache files into a single one.\n");
-    fprintf(stderr, "Usage: lookup-merge [--help] lookup_part_1.bin lookup_part_2.bin ... lookup_merged.bin\n");
+    fprintf(stderr, "Usage: %s [--help] lookup_part_1.bin lookup_part_2.bin ... lookup_merged.bin\n", argv0);
 }
 
 int main(int argc, char ** argv){
     if (argc < 3) {
-        print_usage();
+        print_usage(argv[0]);
         exit(1);
     }
 
@@ -27,7 +27,7 @@ int main(int argc, char ** argv){
     for (int i = 0; i < argc-1; ++i) {
         args[i] = argv[i+1];
         if (args[i] == "-h" || args[i] == "--help") {
-            print_usage();
+            print_usage(argv[0]);
             exit(0);
         }
     }

examples/main/README.md

@@ -64,7 +64,7 @@ llama-cli.exe -m models\7B\ggml-model.bin --ignore-eos -n -1
 
 ## Common Options
 
-In this section, we cover the most commonly used options for running the `main` program with the LLaMA models:
+In this section, we cover the most commonly used options for running the `llama-cli` program with the LLaMA models:
 
 -   `-m FNAME, --model FNAME`: Specify the path to the LLaMA model file (e.g., `models/7B/ggml-model.gguf`; inferred from `--model-url` if set).
 -   `-mu MODEL_URL --model-url MODEL_URL`: Specify a remote http url to download the file (e.g https://huggingface.co/ggml-org/models/resolve/main/phi-2/ggml-model-q4_0.gguf).
@@ -74,15 +74,15 @@ In this section, we cover the most commonly used options for running the `main`
 
 ## Input Prompts
 
-The `main` program provides several ways to interact with the LLaMA models using input prompts:
+The `llama-cli` program provides several ways to interact with the LLaMA models using input prompts:
 
 -   `--prompt PROMPT`: Provide a prompt directly as a command-line option.
 -   `--file FNAME`: Provide a file containing a prompt or multiple prompts.
 -   `--interactive-first`: Run the program in interactive mode and wait for input right away. (More on this below.)
 
 ## Interaction
 
-The `main` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive` and `--interactive-first`.
+The `llama-cli` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive` and `--interactive-first`.
 
 In interactive mode, users can participate in text generation by injecting their input during the process. Users can press `Ctrl+C` at any time to interject and type their input, followed by pressing `Return` to submit it to the LLaMA model. To submit additional lines without finalizing input, users can end the current line with a backslash (`\`) and continue typing.
 

examples/perplexity/perplexity.cpp

@@ -476,7 +476,7 @@ static results_perplexity perplexity(llama_context * ctx, const gpt_params & par
     }
 
     // Download: https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
-    // Run `./perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw`
+    // Run `./llama-perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw`
     // Output: `perplexity: 13.5106 [114/114]`
     // BOS tokens will be added for each chunk before eval
 

scripts/run-with-preset.py

@@ -10,7 +10,7 @@
 
 logger = logging.getLogger("run-with-preset")
 
-CLI_ARGS_MAIN_PERPLEXITY = [
+CLI_ARGS_LLAMA_CLI_PERPLEXITY = [
     "batch-size", "cfg-negative-prompt", "cfg-scale", "chunks", "color", "ctx-size", "escape",
     "export", "file", "frequency-penalty", "grammar", "grammar-file", "hellaswag",
     "hellaswag-tasks", "ignore-eos", "in-prefix", "in-prefix-bos", "in-suffix",
@@ -29,15 +29,15 @@
     "n-prompt", "output", "repetitions", "tensor-split", "threads", "verbose"
 ]
 
-CLI_ARGS_SERVER = [
+CLI_ARGS_LLAMA_SERVER = [
     "alias", "batch-size", "ctx-size", "embedding", "host", "memory-f32", "lora", "lora-base",
     "low-vram", "main-gpu", "mlock", "model", "n-gpu-layers", "n-probs", "no-mmap", "no-mul-mat-q",
     "numa", "path", "port", "rope-freq-base", "timeout", "rope-freq-scale", "tensor-split",
     "threads", "verbose"
 ]
 
 description = """Run llama.cpp binaries with presets from YAML file(s).
-To specify which binary should be run, specify the "binary" property (main, perplexity, llama-bench, and server are supported).
+To specify which binary should be run, specify the "binary" property (llama-cli, llama-perplexity, llama-bench, and llama-server are supported).
 To get a preset file template, run a llama.cpp binary with the "--logdir" CLI argument.
 
 Formatting considerations:
@@ -77,19 +77,19 @@
 
 props = {prop.replace("_", "-"): val for prop, val in props.items()}
 
-binary = props.pop("binary", "main")
+binary = props.pop("binary", "llama-cli")
 if known_args.binary:
     binary = known_args.binary
 
 if os.path.exists(f"./{binary}"):
     binary = f"./{binary}"
 
-if binary.lower().endswith("main") or binary.lower().endswith("perplexity"):
-    cli_args = CLI_ARGS_MAIN_PERPLEXITY
+if binary.lower().endswith("llama-cli") or binary.lower().endswith("llama-perplexity"):
+    cli_args = CLI_ARGS_LLAMA_CLI_PERPLEXITY
 elif binary.lower().endswith("llama-bench"):
     cli_args = CLI_ARGS_LLAMA_BENCH
-elif binary.lower().endswith("server"):
-    cli_args = CLI_ARGS_SERVER
+elif binary.lower().endswith("llama-server"):
+    cli_args = CLI_ARGS_LLAMA_SERVER
 else:
     logger.error(f"Unknown binary: {binary}")
     sys.exit(1)