datasets:
- stingning/ultrachat
inference: false
license: other
model_type: llama
TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z)
Open BMB's UltraLM 13B fp16
These files are pytorch format fp16 model files for Open BMB's UltraLM 13B.
It is the result of merging and/or converting the source repository to float16.
Repositories available
- 4-bit GPTQ models for GPU inference
- 2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference
- Merged, unquantised fp16 model in pytorch format, for GPU inference and for further conversions
Prompt template: Vicuna 1.1
USER: prompt
ASSISTANT:
Discord
For further support, and discussions on these models and AI in general, join us at:
Thanks, and how to contribute.
Thanks to the chirper.ai team!
I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
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Special thanks to: Aemon Algiz.
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Thank you to all my generous patrons and donaters!
And thank you again to a16z for their generous grant.
Original model card: Open BMB's UltraLM 13B
UltraLM-13b
This is UltraLM-13b delta weights, a chat language model trained upon UltraChat
Model Details
Model Description
The model is fine-tuned based on LLaMA-13b with a multi-turn chat-format template as below
User: instruction 1<eos_token>
Assistant: response 1<eos_token>
User: instruction 2<eos_token>
Assistant: response 2<eos_token>
...
- License: UltraLM is based on LLaMA and should be used under LLaMA's model license.
- Finetuned from model: LLaMA-13b
- Finetuned on data: UltraChat
Model Sources
Uses
To use this model, you need to recover the full model from the delta weights and perform inference following the template below:
[Optional]User: system prompt<eos_token>
User: user input<eos_token>
Assistant: