初始化项目，由ModelHub XC社区提供模型

Model: MaziyarPanahi/Calme-12B-Instruct-v0.1
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+- mistral
+- 12b
+- calme
+model-index:
+- name: Calme-12B-Instruct-v0.1
+  results: []
+model_name: Calme-12B-Instruct-v0.1
+inference: false
+model_creator: MaziyarPanahi
+pipeline_tag: text-generation
+quantized_by: MaziyarPanahi
+---
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/LzEf6vvq2qIiys-q7l9Hq.webp" width="550" />
+
+# MaziyarPanahi/Calme-12B-Instruct-v0.1
+
+## Model Description
+
+Calme-12B is a state-of-the-art language model with 12 billion parameters, merged and fine-tuned over high-quality datasets on top of Calme-7B-Instruct-v0.9. The Calme-7B models excel in generating text that resonates with clarity, calmness, and coherence.
+
+### How to Use
+
+```python
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="MaziyarPanahi/Calme-12B-Instruct-v0.1")
+
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Calme-12B-Instruct-v0.1")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Calme-12B-Instruct-v0.1")
+```
+
+### Quantized Models
+
+> I love how GGUF democratizes the use of Large Language Models (LLMs) on commodity hardware, more specifically, personal computers without any accelerated hardware. Because of this, I am committed to converting and quantizing any models I fine-tune to make them accessible to everyone!
+
+- GGUF (2/3/4/5/6/8 bits): [MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF)
+