初始化项目，由ModelHub XC社区提供模型

Model: duyntnet/deepseek-coder-7b-instruct-v1.5-imatrix-GGUF
Source: Original Platform

README.md

@@ -0,0 +1,31 @@
+---
+license: other
+language:
+- en
+pipeline_tag: text-generation
+inference: false
+tags:
+- transformers
+- gguf
+- imatrix
+- deepseek-coder-7b-instruct-v1.5
+---
+Quantizations of https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5
+
+
+# From original readme
+
+### 3. How to Use
+Here give some examples of how to use our model.
+#### Chat Model Inference
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-coder-7b-instruct-v1.5", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-7b-instruct-v1.5", trust_remote_code=True).cuda()
+messages=[
+    { 'role': 'user', 'content': "write a quick sort algorithm in python."}
+]
+inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
+
+outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id)
+print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))