Update README.md

README.md

@@ -6,6 +6,11 @@ tags:
 - trl
 - sft
 - mlx
+- apple-silicon
+- on-device
+- tiny-llm
+- smollm
+- quantized
 datasets:
 - Magpie-Align/Magpie-Pro-300K-Filtered
 - bigcode/self-oss-instruct-sc2-exec-filter-50k
@@ -16,3 +21,31 @@ language:
 - en
 pipeline_tag: text-generation
 ---
+
+# SmolLM-1.7B-Instruct (MLX 4-bit)
+
+A **4-bit MLX quantized** build of `HuggingFaceTB/SmolLM-1.7B-Instruct`, optimized for Apple Silicon local inference.
+
+## Benchmark Environment
+- Device: MacBook Pro (M3 Pro)
+- Runtime: MLX
+- Quantization: ~4.5 bits per weight
+
+## Performance (Measured)
+- Disk size: ~922 MB
+- Peak memory: ~1.08 GB
+- Generation speed: ~110 tokens/sec
+
+> Benchmarks were collected on macOS (M3 Pro).  
+> Performance on iPhone / iPad will vary based on hardware and available memory.
+
+## Usage
+```bash
+mlx_lm.generate \
+  --model Irfanuruchi/SmolLM-1.7B-Instruct-MLX-4bit \
+  --prompt "In 5 sentences, explain the Pomodoro technique and how to start today." \
+  --max-tokens 140
+```
+
+## License
+Upstream SmolLM is released under **Apache-2.0**. Preserve attribution and the original license terms.