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Model: prithivMLmods/Llama-3.1-5B-Instruct
Source: Original Platform

README.md

@@ -0,0 +1,98 @@
+---
+license: llama3.1
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- llama3.1-5B
+- llama-3
+- Base_Ft
+- facebook
+- text-generation-inference
+- meta
+- ollama
+---
+# **Llama-3.1-5B-Instruct**
+
+Llama-3.1 is a collection of multilingual large language models (LLMs) that includes pretrained and instruction-tuned generative models in various sizes. The **Llama-3.1-5B-Instruct** model is part of the series optimized for multilingual dialogue use cases, offering powerful conversational abilities and outperforming many open-source and closed chat models on key industry benchmarks.
+
+## Model Overview
+
+- **Size**: 5B parameters
+- **Model Architecture**: Llama-3.1 is an auto-regressive language model using an optimized transformer architecture.
+- **Training**: The model is fine-tuned using Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) to align with human preferences, ensuring helpfulness, safety, and natural conversations.
+
+The **Llama-3.1-5B-Instruct** model is optimized for multilingual text generation and excels in a variety of dialog-based use cases. It is designed to handle a wide array of tasks, including question answering, translation, and instruction following.
+
+## How to Use
+
+### Requirements
+
+- Install the latest version of **Transformers**:
+  ```bash
+  pip install --upgrade transformers
+  ```
+
+- Ensure you have **PyTorch** installed with support for `bfloat16`:
+  ```bash
+  pip install torch
+  ```
+
+### Example Code
+
+Below is an example of how to use the **Llama-3.1-5B-Instruct** model for conversational inference:
+
+```python
+import transformers
+import torch
+
+# Define the model ID
+model_id = "prithivMLmods/Llama-3.1-5B-Instruct"
+
+# Set up the pipeline for text generation
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model_id,
+    model_kwargs={"torch_dtype": torch.bfloat16},
+    device_map="auto",  # Use the best device available
+)
+
+# Define conversation messages
+messages = [
+    {"role": "system", "content": "You are a pirate chatbot who always responds in pirate speak!"},
+    {"role": "user", "content": "Who are you?"},
+]
+
+# Generate a response
+outputs = pipeline(
+    messages,
+    max_new_tokens=256,
+)
+
+# Print the generated response
+print(outputs[0]["generated_text"][-1])
+```
+
+### Model Details
+
+- **Model Type**: Instruction-Tuned Large Language Model (LLM)
+- **Training**: Trained using supervised fine-tuning and reinforcement learning with human feedback.
+- **Supported Tasks**: Dialogue generation, question answering, translation, and other text-based tasks.
+
+### Performance
+
+The **Llama-3.1-5B-Instruct** model outperforms many existing models on several benchmarks, making it a reliable choice for conversational AI tasks in multilingual environments.
+
+### Notes
+
+- This model is optimized for safety and helpfulness, ensuring a positive user experience.
+- The **torch_dtype** is set to `bfloat16` to optimize memory usage and performance.
+---