Update README.md

README.md

@@ -28,7 +28,7 @@ tags:
 
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 # Quantization Description
-This model is quantized using *selective quantization* from the Qwen2.5-Coder-0.5B base model to increase its speed while preerving the capabilities in generating relevant and accurate responses related python programming.
+This model is quantized using *selective quantization* from the Qwen2.5-Coder-0.5B base model to increase its speed while preserving the capabilities in generating relevant and accurate responses related python programming.
 The quantization method included *32-bit* quantization of the following Layers:
 - q_proj
 - v_proj
@@ -54,7 +54,7 @@ Rest of the remaining layers were quantized to *q3_k_l*
 
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 # Model Architect
-*Qwen2ForCausalLM(
+Qwen2ForCausalLM(
   (model): Qwen2Model(
     (embed_tokens): Embedding(151936, 896, padding_idx=151665)
     (layers): ModuleList(
@@ -80,8 +80,7 @@ Rest of the remaining layers were quantized to *q3_k_l*
     (rotary_emb): LlamaRotaryEmbedding()
   )
   (lm_head): Linear(in_features=896, out_features=151936, bias=False)
-)*
-
+)
 
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 # Performance & Limitations