alpha-ai
/

AlphaAI-Chatty-INT1

@@ -19,40 +19,36 @@ language:
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-AlphaAI-Chatty-INT1
 Overview
 AlphaAI-Chatty-INT1 is a fine-tuned LLaMA 3B Small model optimized for chatty and engaging conversations. This model has been trained on a proprietary conversational dataset, making it well-suited for local deployments that require a natural, interactive dialogue experience.
 The model is available in GGUF format and has been quantized to different levels to support various hardware configurations.
-Model Details
-Base Model: LLaMA 3B Small
-Fine-tuned By: Alpha AI
-Training Framework: Unsloth
 Quantization Levels Available:
--q4_k_m
--q5_k_m
--q8_0
--16-bit (full precision) https://huggingface.co/alphaaico/AlphaAI-Chatty-INT1-16bit
 Format: GGUF (Optimized for local deployments)
 Use Cases:
--Conversational AI – Ideal for chatbots, virtual assistants, and customer support.
--Local AI Deployments – Runs efficiently on local machines without requiring cloud-based inference.
--Research & Experimentation – Suitable for studying conversational AI and fine-tuning on domain-specific datasets.
 Model Performance
 The model has been optimized for chat-style interactions, ensuring:
--Engaging and context-aware responses
--Efficient performance on consumer hardware
--Balanced coherence and creativity in conversations
 Limitations & Biases
 This model, like any AI system, may have biases from the training data. It is recommended to use it responsibly and fine-tune further if needed for specific applications.

 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+**AlphaAI-Chatty-INT1**
 Overview
 AlphaAI-Chatty-INT1 is a fine-tuned LLaMA 3B Small model optimized for chatty and engaging conversations. This model has been trained on a proprietary conversational dataset, making it well-suited for local deployments that require a natural, interactive dialogue experience.
 The model is available in GGUF format and has been quantized to different levels to support various hardware configurations.
+**Model Details**
+- Base Model: LLaMA 3B Small
+- Fine-tuned By: Alpha AI
+- Training Framework: Unsloth
 Quantization Levels Available:
+- q4_k_m
+- q5_k_m
+- q8_0
+- 16-bit (full precision) https://huggingface.co/alphaaico/AlphaAI-Chatty-INT1-16bit
 Format: GGUF (Optimized for local deployments)
 Use Cases:
+- Conversational AI – Ideal for chatbots, virtual assistants, and customer support.
+- Local AI Deployments – Runs efficiently on local machines without requiring cloud-based inference.
+- Research & Experimentation – Suitable for studying conversational AI and fine-tuning on domain-specific datasets.
 Model Performance
 The model has been optimized for chat-style interactions, ensuring:
+- Engaging and context-aware responses
+- Efficient performance on consumer hardware
+- Balanced coherence and creativity in conversations
 Limitations & Biases
 This model, like any AI system, may have biases from the training data. It is recommended to use it responsibly and fine-tune further if needed for specific applications.