inference: false
license: other
datasets:
- stingning/ultrachat
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!
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Thank you to all my generous patrons and donaters!
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:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 48.05 |
| ARC (25-shot) | 57.59 |
| HellaSwag (10-shot) | 80.2 |
| MMLU (5-shot) | 51.85 |
| TruthfulQA (0-shot) | 51.56 |
| Winogrande (5-shot) | 75.85 |
| GSM8K (5-shot) | 10.69 |
| DROP (3-shot) | 8.59 |