Text Generation
Transformers
PyTorch
Safetensors
English
Hindi
gpt_neox
code
Eval Results (legacy)
text-generation-inference
Instructions to use VAIBHAV22334455/JARVIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VAIBHAV22334455/JARVIS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="VAIBHAV22334455/JARVIS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("VAIBHAV22334455/JARVIS") model = AutoModelForCausalLM.from_pretrained("VAIBHAV22334455/JARVIS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use VAIBHAV22334455/JARVIS with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "VAIBHAV22334455/JARVIS" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VAIBHAV22334455/JARVIS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/VAIBHAV22334455/JARVIS
- SGLang
How to use VAIBHAV22334455/JARVIS with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "VAIBHAV22334455/JARVIS" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VAIBHAV22334455/JARVIS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "VAIBHAV22334455/JARVIS" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VAIBHAV22334455/JARVIS", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use VAIBHAV22334455/JARVIS with Docker Model Runner:
docker model run hf.co/VAIBHAV22334455/JARVIS
Commit History
-
Update README.md
Verified signature4da46ba -
Update README.md
Verified signatureb474a5c -
Update README.md
Verified signature5e57148
-
Update tokenizer_config.json (#12)
Verified signature- Update tokenizer_config.json (b9ad3f082deb4e5cad4dccfaeeebfa2e58ea05c8) Co-authored-by: HelpingAI <Abhaykoul@users.noreply.huggingface.co>42a1644 -
Commit Message: Initial deployment of conversational AI model "JARVIS" by Vaibhav Verma Description: This commit marks the initial deployment of the conversational AI model "JARVIS" to the Hugging Face Model Hub. The model, developed by Vaibhav Verma, is based on advanced natural language processing techniques and is capable of engaging in diverse conversations with users. "JARVIS" is equipped with various features, including sentiment analysis, context understanding, and personalized responses. This deployment is a significant milestone in leveraging AI technology for human interaction and assistance. Changes: - Uploaded "JARVIS" conversational AI model to the Hugging Face Model Hub - Included model details, description, and usage instructions in the model card - Provided appropriate metadata including license, tags, and language information - Created a system prompt for improved interaction experience Special Thanks: I extend my heartfelt gratitude to Vortex Bahi for invaluable guidance and support throughout the development and deployment process of "JARVIS." Your expertise and assistance have been instrumental in bringing this project to fruition. Link: https://huggingface.co/VAIBHAV22334455/JARVIS
Verified signature4c59ba1 -
Commit Message: Initial deployment of conversational AI model "JARVIS" by Vaibhav Verma Description: This commit marks the initial deployment of the conversational AI model "JARVIS" to the Hugging Face Model Hub. The model, developed by Vaibhav Verma, is based on advanced natural language processing techniques and is capable of engaging in diverse conversations with users. "JARVIS" is equipped with various features, including sentiment analysis, context understanding, and personalized responses. This deployment is a significant milestone in leveraging AI technology for human interaction and assistance. Changes: - Uploaded "JARVIS" conversational AI model to the Hugging Face Model Hub - Included model details, description, and usage instructions in the model card - Provided appropriate metadata including license, tags, and language information - Created a system prompt for improved interaction experience Special Thanks: I extend my heartfelt gratitude to Vortex Bahi for invaluable guidance and support throughout the development and deployment process of "JARVIS." Your expertise and assistance have been instrumental in bringing this project to fruition. Link: https://huggingface.co/VAIBHAV22334455/JARVIS
Verified signature73223dd -
Commit Message: Initial deployment of conversational AI model "JARVIS" by Vaibhav Verma Description: This commit marks the initial deployment of the conversational AI model "JARVIS" to the Hugging Face Model Hub. The model, developed by Vaibhav Verma, is based on advanced natural language processing techniques and is capable of engaging in diverse conversations with users. "JARVIS" is equipped with various features, including sentiment analysis, context understanding, and personalized responses. This deployment is a significant milestone in leveraging AI technology for human interaction and assistance. Changes: - Uploaded "JARVIS" conversational AI model to the Hugging Face Model Hub - Included model details, description, and usage instructions in the model card - Provided appropriate metadata including license, tags, and language information - Created a system prompt for improved interaction experience Special Thanks: I extend my heartfelt gratitude to Vortex Bahi for invaluable guidance and support throughout the development and deployment process of "JARVIS." Your expertise and assistance have been instrumental in bringing this project to fruition. Link: https://huggingface.co/VAIBHAV22334455/JARVIS
Verified signature890fc15 -
Initial deployment of conversational AI model "JARVIS" by Vaibhav Verma Description: This commit marks the initial deployment of the conversational AI model "JARVIS" to the Hugging Face Model Hub. The model, developed by Vaibhav Verma, is based on advanced natural language processing techniques and is capable of engaging in diverse conversations with users. "JARVIS" is equipped with various features, including sentiment analysis, context understanding, and personalized responses. This deployment is a significant milestone in leveraging AI technology for human interaction and assistance. Changes: - Uploaded "JARVIS" conversational AI model to the Hugging Face Model Hub - Included model details, description, and usage instructions in the model card - Provided appropriate metadata including license, tags, and language information - Created a system prompt for improved interaction experience Special Thanks: I extend my heartfelt gratitude to Vortex Bahi for invaluable guidance and support throughout the development and deployment process of "JARVIS." Your expertise and assistance have been instrumental in bringing this project to fruition. Link: https://huggingface.co/VAIBHAV22334455/JARVIS (#7)
Verified signature- Initial deployment of conversational AI model "JARVIS" by Vaibhav Verma Description: This commit marks the initial deployment of the conversational AI model "JARVIS" to the Hugging Face Model Hub. The model, developed by Vaibhav Verma, is based on advanced natural language processing techniques and is capable of engaging in diverse conversations with users. "JARVIS" is equipped with various features, including sentiment analysis, context understanding, and personalized responses. This deployment is a significant milestone in leveraging AI technology for human interaction and assistance. Changes: - Uploaded "JARVIS" conversational AI model to the Hugging Face Model Hub - Included model details, description, and usage instructions in the model card - Provided appropriate metadata including license, tags, and language information - Created a system prompt for improved interaction experience Special Thanks: I extend my heartfelt gratitude to Vortex Bahi for invaluable guidance and sup…f377af8 -
Adding Evaluation Results (#3)
Verified signature- Adding Evaluation Results (2fc53064d12866b21985ac00ac5ec1de93469a29) Co-authored-by: HelpingAI <Abhaykoul@users.noreply.huggingface.co>dd8849b
-
Update README.md (#2)
Verified signature- Update README.md (83f98ca53ef26b86e81bb208fc08a78557749233) Co-authored-by: HelpingAI <Abhaykoul@users.noreply.huggingface.co>28091aa -
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (3c6c7fe38be1e92456951db3e3a0a3645b2eb894) Co-authored-by: HelpingAI <Abhaykoul@users.noreply.huggingface.co>4bc824a -
Update README.md
Verified signaturebe14976 -
Update README.md
Verified signatureOverview This model is a conversational AI designed to engage in natural language interactions with users. It is based on the Causal Language Modeling (CLM) architecture and has been fine-tuned on conversational datasets to generate coherent and contextually relevant responses. Usage To use this model, you can interact with it via the Hugging Face Inference API. Provide a text prompt, and the model will generate a response based on the given input. Intended Use This model is intended for various conversational applications, including chatbots, virtual assistants, and dialogue systems. It can be deployed in environments where human-like interactions are required, such as customer service, educational platforms, or entertainment applications. Limitations and Ethical Considerations While this model is capable of generating human-like responses, it may occasionally produce outputs that are inappropriate, offensive, or misleading. It is essential to monitor its responses and ensure respo…777553c -
Update README.md
Verified signatureModel Card for Model ID Overview This model is a conversational AI designed to engage in natural language interactions with users. It is based on the Causal Language Modeling (CLM) architecture and has been fine-tuned on conversational datasets to generate coherent and contextually relevant responses. Usage To use this model, you can interact with it via the Hugging Face Inference API. Provide a text prompt, and the model will generate a response based on the given input. Intended Use This model is intended for various conversational applications, including chatbots, virtual assistants, and dialogue systems. It can be deployed in environments where human-like interactions are required, such as customer service, educational platforms, or entertainment applications. Limitations and Ethical Considerations While this model is capable of generating human-like responses, it may occasionally produce outputs that are inappropriate, offensive, or misleading. It is essential to monitor its re…06339bc -
Update README.md
Verified signatureOverview This model is a conversational AI designed to engage in natural language interactions with users. It is based on the Causal Language Modeling (CLM) architecture and has been fine-tuned on conversational datasets to generate coherent and contextually relevant responses. Usage To use this model, you can interact with it via the Hugging Face Inference API. Provide a text prompt, and the model will generate a response based on the given input. Intended Use This model is intended for various conversational applications, including chatbots, virtual assistants, and dialogue systems. It can be deployed in environments where human-like interactions are required, such as customer service, educational platforms, or entertainment applications. Limitations and Ethical Considerations While this model is capable of generating human-like responses, it may occasionally produce outputs that are inappropriate, offensive, or misleading. It is essential to monitor its responses and ensure respo…f1ed02b -
Update README.md
Verified signatureOverview This model is a conversational AI designed to engage in natural language interactions with users. It is based on the Causal Language Modeling (CLM) architecture and has been fine-tuned on conversational datasets to generate coherent and contextually relevant responses. Usage To use this model, you can interact with it via the Hugging Face Inference API. Provide a text prompt, and the model will generate a response based on the given input. Intended Use This model is intended for various conversational applications, including chatbots, virtual assistants, and dialogue systems. It can be deployed in environments where human-like interactions are required, such as customer service, educational platforms, or entertainment applications. Limitations and Ethical Considerations While this model is capable of generating human-like responses, it may occasionally produce outputs that are inappropriate, offensive, or misleading. It is essential to monitor its responses and ensure respo…c4089b9 -
Update README.md
Verified signatureOverview This model is a conversational AI designed to engage in natural language interactions with users. It is based on the Causal Language Modeling (CLM) architecture and has been fine-tuned on conversational datasets to generate coherent and contextually relevant responses. Usage To use this model, you can interact with it via the Hugging Face Inference API. Provide a text prompt, and the model will generate a response based on the given input. Intended Use This model is intended for various conversational applications, including chatbots, virtual assistants, and dialogue systems. It can be deployed in environments where human-like interactions are required, such as customer service, educational platforms, or entertainment applications. Limitations and Ethical Considerations While this model is capable of generating human-like responses, it may occasionally produce outputs that are inappropriate, offensive, or misleading. It is essential to monitor its responses and ensure respo…7d029af -
Update README.md
Verified signatureModel Card for Model ID Overview This model is a conversational AI designed to engage in natural language interactions with users. It is based on the Causal Language Modeling (CLM) architecture and has been fine-tuned on conversational datasets to generate coherent and contextually relevant responses. Usage To use this model, you can interact with it via the Hugging Face Inference API. Provide a text prompt, and the model will generate a response based on the given input. Intended Use This model is intended for various conversational applications, including chatbots, virtual assistants, and dialogue systems. It can be deployed in environments where human-like interactions are required, such as customer service, educational platforms, or entertainment applications. Limitations and Ethical Considerations While this model is capable of generating human-like responses, it may occasionally produce outputs that are inappropriate, offensive, or misleading. It is essential to monitor its re…1ca3a9b -
Update README.md
Verified signatureWelcome to our conversational AI model, designed to engage users in natural and meaningful conversations across various topics. Our AI, powered by state-of-the-art natural language processing techniques, is adept at understanding and generating human-like responses, making interactions with it seamless and enjoyable. Key Features: Natural Conversations: Our AI is trained on vast amounts of conversational data, enabling it to understand context, tone, and nuances in language to deliver engaging and contextually relevant responses. Multi-Topic Expertise: Whether you want to discuss technology, science, arts, or everyday topics, our AI is equipped to converse on a wide range of subjects, providing informative and entertaining responses. Personalization: Our AI can adapt its responses based on user input and preferences, creating a personalized conversational experience for each user. Continual Learning: Constantly evolving and learning from user interactions, our AI continually impro…d80967b -
README.md
Verified signatureWelcome to our conversational AI model, designed to engage users in natural and meaningful conversations across various topics. Our AI, powered by state-of-the-art natural language processing techniques, is adept at understanding and generating human-like responses, making interactions with it seamless and enjoyable. Key Features: Natural Conversations: Our AI is trained on vast amounts of conversational data, enabling it to understand context, tone, and nuances in language to deliver engaging and contextually relevant responses. Multi-Topic Expertise: Whether you want to discuss technology, science, arts, or everyday topics, our AI is equipped to converse on a wide range of subjects, providing informative and entertaining responses. Personalization: Our AI can adapt its responses based on user input and preferences, creating a personalized conversational experience for each user. Continual Learning: Constantly evolving and learning from user interactions, our AI continually impro…f9822c1
-
Upload folder using huggingface_hub
Verified signature5202914 -
initial commit
Verified signature3583591