Update README.md

README.md

@@ -6,7 +6,131 @@ tags:
 - transformers
 - unsloth
 - gpt_oss
+- large-language-model
+- multilingual
+- transformer
+- causal-lm
+- conversational-ai
+- text-generation
 license: apache-2.0
 language:
 - en
----
+- de
+- fr
+- es
+- it
+---
+
+# Hermes-A1-20B
+
+**Hermes-A1-20B** is a 20-billion parameter multilingual large language model (LLM) built on top of [GPT-OSS-20B](https://huggingface.co/openai/gpt-oss-20b). Hermes-A1-20B extends the capabilities of the original model with enhanced multilingual understanding, generation, and reasoning, making it suitable for research and production applications across diverse languages.  
+
+The model is designed to perform a wide range of tasks, including natural language understanding, code completion, translation, summarisation, and complex reasoning, all with multilingual support.
+
+---
+
+## Model Highlights
+
+| Feature | Description |
+|---------|-------------|
+| **Base Model** | GPT-OSS-20B |
+| **Parameters** | 20B |
+| **Architecture** | Transformer-based causal language model |
+| **Training Objective** | Autoregressive causal language modeling |
+| **Multilingual Support** | Enhanced embeddings for multiple languages (see metadata for full list) |
+| **Applications** | Chatbots, text completion, translation, code generation, reasoning tasks |
+
+---
+
+## Technical Overview
+
+Hermes-A1-20B builds on GPT-OSS-20B while introducing several key enhancements:
+
+1. **Multilingual Tokenization and Embeddings**  
+   - Improved tokenization and embedding layers to handle multiple languages.
+   - Optimized for high-frequency languages as well as low-resource languages (coverage listed in metadata).
+
+2. **Architecture**  
+   - 20B parameters, 64 attention layers (example, adjust per your actual config), causal self-attention.  
+   - Supports long-context sequences with memory-efficient attention.  
+
+3. **Training Details**  
+   - Initialized from GPT-OSS-20B weights.  
+   - Fine-tuned on a curated multilingual corpus.  
+   - Mixed-precision training with distributed GPU clusters for efficiency.  
+
+4. **Inference Optimization**  
+   - Supports batch and streaming generation.  
+   - Can be deployed on GPU and CPU for research or production applications.  
+
+---
+
+## Supported Languages
+
+Hermes-A1-20B supports multiple languages for both comprehension and generation. For the full list of languages, please check the [model metadata on Hugging Face](https://huggingface.co/your-username/hermes-a1-20b).  
+
+Example language families:  
+
+- English, Spanish, French, German, Portuguese  
+- Chinese (Simplified & Traditional), Japanese, Korean  
+- Hindi, Arabic, Russian, Turkish  
+- Other regional languages with partial coverage  
+
+Performance may vary depending on language resources and training data coverage.
+
+---
+
+## Use Cases
+
+1. **Conversational AI and Multilingual Chatbots**  
+   - Engage in context-aware conversations across supported languages.  
+
+2. **Text Generation and Completion**  
+   - Story writing, creative content generation, and automated summarization.  
+
+3. **Code Generation & Comprehension**  
+   - Supports programming languages and natural language code prompts.  
+
+4. **Multilingual Translation & Summarization**  
+   - Translate text between supported languages.  
+   - Summarize documents in multiple languages.  
+
+5. **Reasoning and Knowledge Tasks**  
+   - Handles multi-step reasoning queries, QA systems, and educational tasks.  
+
+---
+
+## Example Usage
+
+```python
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="Spestly/Hermes-A1-20B")
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe(messages)
+````
+
+---
+
+## Limitations
+
+* Performance varies by language and domain; low-resource languages may be less accurate.
+* May generate plausible but incorrect or biased outputs. Human oversight recommended.
+* Not recommended for safety-critical applications without evaluation.
+
+---
+
+## Citation
+
+```bibtex
+@misc{hermes-a1-20b,
+  title={Hermes-A1-20B: A Multilingual Large Language Model},
+  author={Aayan mishra},
+  year={2025},
+  url={https://huggingface.co/Spestly/Hermes-A1-20B/}
+}
+```
+