update readme

README.md

@@ -188,6 +188,264 @@ will create an interactive session with text generation
 
 ## CLI Reference
 
+```
+usage: nexa [-h] [-V] {run,onnx,server,pull,remove,clean,list,login,whoami,logout} ...
+
+Nexa CLI tool for handling various model operations.
+
+positional arguments:
+  {run,onnx,server,pull,remove,clean,list,login,whoami,logout}
+                        sub-command help
+    run                 Run inference for various tasks using GGUF models.
+    onnx                Run inference for various tasks using ONNX models.
+    server              Run the Nexa AI Text Generation Service
+    pull                Pull a model from official or hub.
+    remove              Remove a model from local machine.
+    clean               Clean up all model files.
+    list                List all models in the local machine.
+    login               Login to Nexa API.
+    whoami              Show current user information.
+    logout              Logout from Nexa API.
+
+options:
+  -h, --help            show this help message and exit
+  -V, --version         Show the version of the Nexa SDK.
+```
+
+### List Local Models
+
+List all models on your local computer.
+
+```
+nexa list
+```
+
+### Download a Model
+
+Download a model file to your local computer from Nexa Model Hub.
+
+```
+nexa pull MODEL_PATH
+usage: nexa pull [-h] model_path
+
+positional arguments:
+  model_path  Path or identifier for the model in Nexa Model Hub
+
+options:
+  -h, --help  show this help message and exit
+```
+
+#### Example
+
+```
+nexa pull llama2
+```
+
+### Remove a Model
+
+Remove a model from your local computer.
+
+```
+nexa remove MODEL_PATH
+usage: nexa remove [-h] model_path
+
+positional arguments:
+  model_path  Path or identifier for the model in Nexa Model Hub
+
+options:
+  -h, --help  show this help message and exit
+```
+
+#### Example
+
+```
+nexa remove llama2
+```
+
+### Remove All Downloaded Models
+
+Remove all downloaded models on your local computer.
+
+```
+nexa clean
+```
+
+### Run a Model
+
+Run a model on your local computer. If the model file is not yet downloaded, it will be automatically fetched first.
+
+By default, `nexa` will run gguf models. To run onnx models, use `nexa onnx MODEL_PATH`
+
+#### Run Text-Generation Model
+
+```
+nexa run MODEL_PATH
+usage: nexa run [-h] [-t TEMPERATURE] [-m MAX_NEW_TOKENS] [-k TOP_K] [-p TOP_P] [-sw [STOP_WORDS ...]] [-pf] [-st] model_path
+
+positional arguments:
+  model_path            Path or identifier for the model in Nexa Model Hub
+
+options:
+  -h, --help            show this help message and exit
+  -pf, --profiling      Enable profiling logs for the inference process
+  -st, --streamlit      Run the inference in Streamlit UI
+
+Text generation options:
+  -t, --temperature TEMPERATURE
+                        Temperature for sampling
+  -m, --max_new_tokens MAX_NEW_TOKENS
+                        Maximum number of new tokens to generate
+  -k, --top_k TOP_K     Top-k sampling parameter
+  -p, --top_p TOP_P     Top-p sampling parameter
+  -sw, --stop_words [STOP_WORDS ...]
+                        List of stop words for early stopping
+```
+
+##### Example
+
+```
+nexa run llama2
+```
+
+#### Run Image-Generation Model
+
+```
+nexa run MODEL_PATH
+usage: nexa run [-h] [-i2i] [-ns NUM_INFERENCE_STEPS] [-np NUM_IMAGES_PER_PROMPT] [-H HEIGHT] [-W WIDTH] [-g GUIDANCE_SCALE] [-o OUTPUT] [-s RANDOM_SEED] [-st] model_path
+
+positional arguments:
+  model_path            Path or identifier for the model in Nexa Model Hub
+
+options:
+  -h, --help            show this help message and exit
+  -st, --streamlit      Run the inference in Streamlit UI
+
+Image generation options:
+  -i2i, --img2img       Whether to run image-to-image generation
+  -ns, --num_inference_steps NUM_INFERENCE_STEPS
+                        Number of inference steps
+  -np, --num_images_per_prompt NUM_IMAGES_PER_PROMPT
+                        Number of images to generate per prompt
+  -H, --height HEIGHT   Height of the output image
+  -W, --width WIDTH     Width of the output image
+  -g, --guidance_scale GUIDANCE_SCALE
+                        Guidance scale for diffusion
+  -o, --output OUTPUT   Output path for the generated image
+  -s, --random_seed RANDOM_SEED
+                        Random seed for image generation
+  --lora_dir LORA_DIR   Path to directory containing LoRA files
+  --wtype WTYPE         Weight type (f32, f16, q4_0, q4_1, q5_0, q5_1, q8_0)
+  --control_net_path CONTROL_NET_PATH
+                        Path to control net model
+  --control_image_path CONTROL_IMAGE_PATH
+                        Path to image condition for Control Net
+  --control_strength CONTROL_STRENGTH
+                        Strength to apply Control Net
+```
+
+##### Example
+
+```
+nexa run sd1-4
+```
+
+#### Run Vision-Language Model
+
+```
+nexa run MODEL_PATH
+usage: nexa run [-h] [-t TEMPERATURE] [-m MAX_NEW_TOKENS] [-k TOP_K] [-p TOP_P] [-sw [STOP_WORDS ...]] [-pf] [-st] model_path
+
+positional arguments:
+  model_path            Path or identifier for the model in Nexa Model Hub
+
+options:
+  -h, --help            show this help message and exit
+  -pf, --profiling      Enable profiling logs for the inference process
+  -st, --streamlit      Run the inference in Streamlit UI
+
+VLM generation options:
+  -t, --temperature TEMPERATURE
+                        Temperature for sampling
+  -m, --max_new_tokens MAX_NEW_TOKENS
+                        Maximum number of new tokens to generate
+  -k, --top_k TOP_K     Top-k sampling parameter
+  -p, --top_p TOP_P     Top-p sampling parameter
+  -sw, --stop_words [STOP_WORDS ...]
+                        List of stop words for early stopping
+```
+
+##### Example
+
+```
+nexa run nanollava
+```
+
+#### Run Audio Model
+
+```
+nexa run MODEL_PATH
+usage: nexa run [-h] [-o OUTPUT_DIR] [-b BEAM_SIZE] [-l LANGUAGE] [--task TASK] [-t TEMPERATURE] [-c COMPUTE_TYPE] [-st] model_path
+
+positional arguments:
+  model_path            Path or identifier for the model in Nexa Model Hub
+
+options:
+  -h, --help            show this help message and exit
+  -st, --streamlit      Run the inference in Streamlit UI
+
+Automatic Speech Recognition options:
+  -b, --beam_size BEAM_SIZE
+                        Beam size to use for transcription
+  -l, --language LANGUAGE
+                        The language spoken in the audio. It should be a language code such as 'en' or 'fr'.
+  --task TASK           Task to execute (transcribe or translate)
+  -c, --compute_type COMPUTE_TYPE
+                        Type to use for computation (e.g., float16, int8, int8_float16)
+```
+
+##### Example
+
+```
+nexa run faster-whisper-tiny
+```
+
+### Start Local Server
+
+Start a local server using models on your local computer.
+
+```
+nexa server MODEL_PATH
+usage: nexa server [-h] [--host HOST] [--port PORT] [--reload] model_path
+
+positional arguments:
+  model_path   Path or identifier for the model in S3
+
+options:
+  -h, --help   show this help message and exit
+  --host HOST  Host to bind the server to
+  --port PORT  Port to bind the server to
+  --reload     Enable automatic reloading on code changes
+```
+
+#### Example
+
+```
+nexa server llama2
+```
+
+### Model Path Format
+
+For `model_path` in nexa commands, it's better to follow the standard format to ensure correct model loading and execution. The standard format for `model_path` is:
+
+- `[user_name]/[repo_name]:[tag_name]` (user's model)
+- `[repo_name]:[tag_name]` (official model)
+
+#### Examples:
+
+- `gemma-2b:q4_0`
+- `Meta-Llama-3-8B-Instruct:onnx-cpu-int8`
+- `alanzhuly/Qwen2-1B-Instruct:q4_0`
+
 ## Start Local Server
 
 You can start a local server using models on your local computer with the `nexa server` command. Here's the usage syntax: