|
--- |
|
license: other |
|
tags: |
|
- llama2 |
|
--- |
|
# Model Card: Zarablend L2 7b |
|
This model uses [Nous Hermes Llama2 7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) (66%) as a base with [Airoboros L2 7B GPT4 2.0](https://huggingface.co/jondurbin/airoboros-l2-7b-gpt4-2.0) (34%) and the result of this merge was merged with [LimaRP LLama2 7B Lora](https://huggingface.co/lemonilia/limarp-llama2). |
|
|
|
This merge of models(hermes and airoboros) was done with this [script](https://github.com/zarakiquemparte/zaraki-tools/blob/main/merge-cli.py) |
|
|
|
This merge of Lora with Model was done with this [script](https://github.com/zarakiquemparte/zaraki-tools/blob/main/apply-lora.py) |
|
|
|
Quantized Model by @TheBloke: |
|
- [GGML](https://huggingface.co/TheBloke/Zarablend-L2-7B-GGML) |
|
- [GPTQ](https://huggingface.co/TheBloke/Zarablend-L2-7B-GPTQ) |
|
|
|
Merge illustration: |
|
|
|
 |
|
|
|
## Usage: |
|
|
|
Since this is a merge between Nous Hermes, Airoboros and LimaRP, the following instruction formats should work: |
|
|
|
Alpaca 2: |
|
|
|
``` |
|
### Instruction: |
|
<prompt> |
|
|
|
### Response: |
|
<leave a newline blank for model to respond> |
|
``` |
|
|
|
LimaRP instruction format: |
|
|
|
``` |
|
<<SYSTEM>> |
|
<character card and system prompt> |
|
|
|
<<USER>> |
|
<prompt> |
|
|
|
<<AIBOT>> |
|
<leave a newline blank for model to respond> |
|
``` |
|
|
|
## Bias, Risks, and Limitations |
|
|
|
This model is not intended for supplying factual information or advice in any form |
|
|
|
## Training Details |
|
|
|
This model is merged and can be reproduced using the tools mentioned above. Please refer to all provided links for extra model-specific details. |
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_zarakiquemparte__zarablend-l2-7b) |
|
|
|
| Metric | Value | |
|
|-----------------------|---------------------------| |
|
| Avg. | 49.03 | |
|
| ARC (25-shot) | 54.44 | |
|
| HellaSwag (10-shot) | 78.62 | |
|
| MMLU (5-shot) | 47.61 | |
|
| TruthfulQA (0-shot) | 49.38 | |
|
| Winogrande (5-shot) | 73.32 | |
|
| GSM8K (5-shot) | 4.4 | |
|
| DROP (3-shot) | 35.45 | |
|
|
