Upload README.md

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-Nemo-Base-2407
+tags:
+- general-purpose
+- text-generation
+---
+
+# Astra-v1-12B
+
+Astra-v1-12B is a fine-tuned version of the base model [Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407), developed for general-purpose natural language processing tasks. It was fine-tuned to replicate the quality and style of Claude 3's Sonnet and Opus models.
+
+![Astra-v1-12B](https://i.imgur.com/rCXcyno.png)
+
+
+### Model Description
+
+Astra-v1-12B is a general-purpose transformer-based language model fine-tuned for instruction-following tasks. The fine-tuning was designed to match the high-quality generation seen in Claude 3's Sonnet and Opus models, optimized for tasks such as text generation, summarization, question answering, and more.
+
+- **Developed by:** P0x0
+- **Finetuned from:** [Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407)
+- **License:** Apache 2.0
+
+### Model Sources
+
+- **Repository:** [https://huggingface.co/P0x0/astra-v1-12b](https://huggingface.co/P0x0/astra-v1-12b)
+       
+## Uses
+
+### Direct Use
+
+Astra-v1-12B can be used directly for a wide range of NLP tasks, including:
+- Text generation
+- Summarization
+- Question answering
+- Dialogue systems
+
+### Out-of-Scope Use
+
+Astra-v1-12B is not intended for real-time decision-making in critical applications or generating harmful or biased content.
+## How to Get Started with the Model
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("P0x0/astra-v1-12b")
+model = AutoModelForCausalLM.from_pretrained("P0x0/astra-v1-12b")
+
+input_text = "Explain the theory of relativity in simple terms."
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))