Update README.md

README.md

@@ -17,7 +17,13 @@ llama3-8b-spaetzle-v20 is an int4-inc (intel auto-round) quantized merge of the
   * [VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct)
 * [nbeerbower/llama-3-wissenschaft-8B-v2](https://huggingface.co/nbeerbower/llama-3-wissenschaft-8B-v2)
 
-The GGUF q4_k_m version achieves on EQ-Bench v2_de 65.7 (171/171 parseable).
+## Benchmarks
+The GGUF q4_k_m version achieves on EQ-Bench v2_de 65.7 (171/171 parseable). From [Intel's low bit open llm leaderboard](https://huggingface.co/spaces/Intel/low_bit_open_llm_leaderboard):
+
+| Type | Model                                     | Average ⬆️ | ARC-c | ARC-e | Boolq | HellaSwag | Lambada | MMLU  | Openbookqa | Piqa  | Truthfulqa | Winogrande | #Params (B) | #Size (G) |
+|------|-------------------------------------------|------------|-------|-------|-------|-----------|---------|-------|------------|-------|------------|------------|-------------|-----------|
+| 🍒   | **cstr/llama3-8b-spaetzle-v20-int4-inc**  | **66.43**  | **61.77** | **85.4** | **82.75** | **62.79** | **71.73** | **64.17** | **37.4** | **80.41** | **43.21** | **74.66** | **7.04**  | **5.74**  |
+
 
 ## 🧩 Configuration