Create README.md

README.md

@@ -0,0 +1,65 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+inference: false
+license: apache-2.0
+model_creator: Mistral AI_
+model_name: Mistral 7B Instruct v0.2
+model_type: mistral
+pipeline_tag: text-generation
+prompt_template: |
+  <s>[INST] {prompt} [/INST]
+quantized_by: TheBloke
+tags:
+  - finetuned
+  - mistral
+  - quantized
+  - 4-bit
+---
+# Description
+
+This repo contains GPTQ model files for [Mistral AI_'s Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
+
+## How to use
+### Install the necessary packages
+
+```
+pip install --upgrade accelerate auto-gptq transformers
+```
+
+### Example Python code
+
+
+```python
+from transformers import AutoTokenizer, pipeline
+from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
+import torch
+
+model_id = "MaziyarPanahi/Mistral-7B-Instruct-v0.2-GPTQ"
+
+quantize_config = BaseQuantizeConfig(
+        bits=4,
+        group_size=128,
+        desc_act=False
+    )
+
+model = AutoGPTQForCausalLM.from_quantized(
+        model_id,
+        use_safetensors=True,
+        device="cuda:0",
+        quantize_config=quantize_config)
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+pipe = pipeline(
+    "text-generation",
+    model=model,
+    tokenizer=tokenizer,
+    max_new_tokens=512,
+    temperature=0.7,
+    top_p=0.95,
+    repetition_penalty=1.1
+)
+
+outputs = pipe("What is a large language model?")
+print(outputs[0]["generated_text"])
+```