Chimera G3mma R1.0
This model is the third model of the Chimera model family, trained on a diverse dataset for improved conversational abilities and general knowledge.
Model Description
This model has been fine-tuned to enhance its performance in various natural language processing tasks, including:
- Conversational AI: Generating coherent and contextually relevant responses in dialogues.
- Question Answering: Providing accurate answers to factual and reasoning-based questions.
- Code Generation: Assisting with programming tasks (from the stack dataset).
- Commonsense Reasoning: Demonstrating understanding of everyday situations.
- Text Completion: Generating plausible continuations of given text.
Intended Uses
This model is intended for research and development purposes, including:
- Building conversational agents and chatbots.
- Developing question answering systems.
- Exploring code generation and understanding.
- Studying commonsense reasoning and natural language understanding.
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("utkmst/chimera-g3mma-r1.0")
tokenizer = AutoTokenizer.from_pretrained("utkmst/chimera-g3mma-r1.0")
- Downloads last month
- 0
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.