Update README.md

README.md

@@ -79,15 +79,34 @@ Evaluations were performed using [LM Eval Harness](https://github.com/EleutherAI
 | jpacifico/bitnet-dpo-merged-modelstock7            | **51,62**              |
 
 
+### Reproducibility
+
+All benchmark results reported here were obtained using [LM Eval Harness](https://github.com/EleutherAI/lm-evaluation-harness).  
+The following example reproduces the **ARC-Challenge (0-shot)** evaluation for this model:
+
+```bash
+HF_ALLOW_CODE_EVAL=1 lm-eval --model hf \
+  --model_args pretrained=jpacifico/modelstock7,dtype=bfloat16 \
+  --tasks arc_challenge \
+  --device cuda:0 --batch_size 8 \
+  --seed 42 \
+  --num_fewshot 0 \
+  --confirm_run_unsafe_code \
+  --trust_remote_code
+```
+
+- All results were computed with LM Eval Harness v0.4.9  
+- Randomness (e.g. seeds, batch sizes) may cause slight variations in results  
+- The same procedure was used to evaluate all tasks presented in the benchmark tables  
 
-## Usage
+# Usage with `bitnet.cpp`
 
-You can run this model using my [Colab notebook](https://github.com/jpacifico/Chocolatine-LLM/blob/main/Chocolatine_14B_inference_test_colab.ipynb) 
+You can run this model using my demo [Colab notebook](https://github.com/jpacifico/) TBD  
 
-You can also run this model using the following code:
+Please refer to the [bitnet.cpp](https://github.com/microsoft/BitNet) GitHub repository for detailed compilation steps, usage examples, and command-line options.  
 
 
-## Last checkpoint
+# Last checkpoint
 ### Merge Method
 
 This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [jpacifico/bitnet-dpo-merged-modelstock-retrain](https://huggingface.co/jpacifico/bitnet-dpo-merged-modelstock-retrain) as a base.
@@ -119,7 +138,7 @@ tokenizer_source: jpacifico/bitnet-dpo-merged-modelstock-retrain
 
 ```
 
-## Limitations
+# Limitations
 
 Not tuned for coding or formal math; prefer specialized variants if those are critical.  
 No explicit chain-of-thought training; improvements come from bilingual DPO + merging.