Update README.md

README.md

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 CodeFuse-DeepSeek-33B-4bits is the 4-bit quantized version of [CodeFuse-DeepSeek-33B](https://huggingface.co/codefuse-ai/CodeFuse-DeepSeek-33B) which is a 33B Code-LLM finetuned by QLoRA on multiple code-related tasks on the base model DeepSeek-Coder-33B. 
 
-After undergoing 4-bit quantization, the CodeFuse-DeepSeek-33B-4bits model can be loaded on either a single A10 (24GB VRAM) or an RTX 4090 (24GB VRAM). Moreover, the quantized model still achives an impressive accuracy of 78.05% on the HumanEval pass@1 metric.
+After undergoing 4-bit quantization, the CodeFuse-DeepSeek-33B-4bits model can be loaded on either a single A10 (24GB VRAM) or an RTX 4090 (24GB VRAM). Moreover, the quantized model still achieves an impressive accuracy of 78.05% on the HumanEval pass@1 metric.
 
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 🔥🔥🔥 2023-09-26 We are pleased to announce the release of the [4-bit quantized version](https://huggingface.co/codefuse-ai/CodeFuse-CodeLlama-34B-4bits) of [CodeFuse-CodeLlama-34B](https://modelscope.cn/models/codefuse-ai/CodeFuse-CodeLlama-34B/summary). Despite the quantization process, the model still achieves a remarkable 73.8% accuracy (greedy decoding) on the HumanEval pass@1 metric.
 
-🔥🔥🔥 2023-09-11 [CodeFuse-CodeLlama34B](https://huggingface.co/codefuse-ai/CodeFuse-CodeLlama-34B-4bits) has achieved 74.4% of pass@1 (greedy decoding) on HumanEval, which is SOTA results for openspurced LLMs at present.
+🔥🔥🔥 2023-09-11 [CodeFuse-CodeLlama34B](https://huggingface.co/codefuse-ai/CodeFuse-CodeLlama-34B-4bits) has achieved 74.4% of pass@1 (greedy decoding) on HumanEval, which is SOTA results for open-sourced LLMs at present.
 
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