update readme

README.md

@@ -10,17 +10,25 @@ tags:
 - edge
 - lfm2
 - text-generation
+base_model:
+- LiquidAI/LFM2.5-230M
 pipeline_tag: text-generation
 ---
 
-# LFM2.5-230M — Torq build (Synaptics SL2619 NPU)
+# LFM2.5-230M — Torq build (Synaptics SL2610-Series Torq NPU)
 
-Pre-compiled **Torq VMFB** build of LiquidAI's LFM2.5 230M text language model, ready
-to run on the Synaptics **SL2619** edge NPU. LFM2 is a hybrid architecture that
-combines short convolutions with grouped-query attention. The transformer runs on the
-NPU in bf16; the token embeddings run on the host CPU.
+This repository provides compiled model files for LiquidAI's LFM2.5 230M text language model, ready
+to run on the **Synaptics SL2610-series Torq NPU**. 
 
-## Contents
+## Model Overview
+
+LFM2.5-230M is a general-purpose text-only model. It is a hybrid architecture that combines short convolutions with grouped-query attention. 
+
+The transformer runs on the Torq NPU in bf16; the token embeddings run on the host CPU.
+
+## Model Features
+
+### Contents
 
 | File | Size | Role |
 |---|--:|---|
@@ -45,7 +53,7 @@ the 461 MB monolithic build):
 
 The `onnx/` export is provided for reference / portability to other runtimes.
 
-## Model details
+### Model Details
 
 - **Architecture:** LFM2 (`Lfm2ForCausalLM`) — hybrid short-convolution + grouped-query attention.
 - **Hidden size:** 1024 · **Layers:** 14 · **Attention heads:** 16 (8 KV heads, GQA) · **Intermediate size:** 2560.
@@ -53,16 +61,41 @@ The `onnx/` export is provided for reference / portability to other runtimes.
 - **Precision:** bf16 on the NPU.
 - **Target:** Synaptics SL2619, compiled with the Torq compiler.
 
-## Quick start
+## Tested Platforms
+
+- [Synaptics Astra™ Machina SL2619 2GB](https://www.synaptics.com/products/embedded-processors/astra-machina-foundation-series)
+
+## Metrics
+
+| Platform  | Model / Stage | Environment | NPU Clock | Inference Time | Infer / s | 
+| --------- | --------- | --------- | --------- | --------- | --------- |
+| SL2619 2GB	| LFM2.5-230M | Torq v2.0.0	| 1 GHz | TBD | 7.1 | 
+
+
+## Deployment
 
-Runs on the Synaptics Torq runtime via
-[synaptics-torq/torq-examples](https://github.com/synaptics-torq/torq-examples). Place
-the model files in a directory and invoke the Torq LLM runner with either `model.vmfb`
-(monolithic) or `body.vmfb` + `lm_head.vmfb` (split, lower TTFT), alongside
-`token_embeddings.npy`, `config.json`, and `tokenizer.json`.
+The models have been tested with the following environment.
+
+- Torq Compiler: *v2.0.0*
+- Torq Runtime: *v2.0.0* included in Astra SDK release *scarthgap_6.12_v2.4.0*
+
+
+### Usage Tutorials / Example Apps
+
+A usage example is provided in the [Torq Examples / LiquidAI-VLM](https://github.com/synaptics-torq/torq-examples/tree/main/liquidAI-VLM). 
+
+Check out the [README](https://github.com/synaptics-torq/torq-examples/blob/main/liquidAI-VLM/README.md) for instructions.
+
+Usage Notes:
+- Place the model files in a directory and invoke the Torq LLM runner with either `model.vmfb` (monolithic) or `body.vmfb` + `lm_head.vmfb` (split, lower TTFT), alongside `token_embeddings.npy`, `config.json`, and `tokenizer.json`.
 
 ## License
 
-Derived from LiquidAI's LFM2.5 230M and distributed under LiquidAI's **LFM Open License
-v1.0** — see [LiquidAI on Hugging Face](https://huggingface.co/LiquidAI) for the full
-terms.
+Thie files herein were derived from LiquidAI's LFM2.5 230M and distributed under LiquidAI's **LFM Open License v1.0** — see [LiquidAI on Hugging Face](https://huggingface.co/LiquidAI) for the full terms.
+
+## Learn More
+
+- [Synaptics AI Developer Zone](https://developer.synaptics.com?utm_source=hf): Get started with documentation, tutorials and resources for your Edge AI journey.
+- [Torq Compiler Documentation](https://synaptics-torq.github.io/torq-compiler/v/latest/): Learn more about the Torq compiler based on MLIR and IREE.
+- [Synaptics Astra SDK](https://synaptics-astra.github.io/doc/v/latest/): Learn more about the Yocto Project-based Linux software available for Astra SL processors. 
+- [Astra Support Portal](https://synacsm.atlassian.net/servicedesk/customer/portal/543?utm_source=hf): Connect with our engineering team and community.