Update README.md

README.md

@@ -5,7 +5,7 @@ language:
 - pt
 metrics:
       - type: { HumanEval zero-shot pass@1}         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: {88.41}       # Required. Example: 20.90
+        value: {86.99}       # Required. Example: 20.90
 base_model:
 - Qwen/Qwen2.5-Coder-3B-Instruct
 pipeline_tag: text-generation
@@ -118,7 +118,7 @@ The model was treated under <b>"s.o.n.n."</b> (<i>single omni neural network</i>
 <code>
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_id = "Nerdsking/Nerdsking-python-coder-3B-i"
+model_id = "Nerdsking/Nerdsking-python-coder-7B-i"
 
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(