|
--- |
|
inference: false |
|
datasets: |
|
- WizardLM/WizardLM_evol_instruct_V2_196k |
|
--- |
|
# Model Card for Model ID |
|
|
|
|
|
This is exl2 5.53bpw quant of Vicuna, specifically https://huggingface.co/lmsys/vicuna-13b-v1.5-16k |
|
|
|
More notes on the original model can be found here [lmSys page](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md). |
|
|
|
`python convert.py -i C:\webui\models\lmsys_vicuna-13b-v1.5-16k -o C:\webui\models\Processed |
|
-nr -om lmsys_vicuna-13b-v1.5-16k_measurement.json -mr 15 -gr 15 |
|
-c "C:\webui\repositories\exllamav2\WizardLM_evol_instruct_V2_196k_0000.parquet" |
|
&& python convert.py -i C:\webui\models\lmsys_vicuna-13b-v1.5-16k -o C:\webui\models\Processed |
|
-nr -m lmsys_vicuna-13b-v1.5-16k_measurement.json -b 5.53 -gr 40 |
|
-c "C:\webui\repositories\exllamav2\WizardLM_evol_instruct_V2_196k_0000.parquet" |
|
-cf lmsys_vicuna-13b-v1.5-16k-exl2-5.53bpw -ss 4000 ` |
|
|
|
## Original Model Details |
|
|
|
# Vicuna Model Card |
|
|
|
## Model Details |
|
|
|
Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. |
|
|
|
- **Developed by:** [LMSYS](https://lmsys.org/) |
|
- **Model type:** An auto-regressive language model based on the transformer architecture. |
|
- **License:** Non-commercial license |
|
- **Finetuned from model:** [LLaMA](https://arxiv.org/abs/2302.13971). |
|
|
|
### Model Sources |
|
|
|
- **Repository:** https://github.com/lm-sys/FastChat |
|
- **Blog:** https://lmsys.org/blog/2023-03-30-vicuna/ |
|
- **Paper:** https://arxiv.org/abs/2306.05685 |
|
- **Demo:** https://chat.lmsys.org/ |
|
|
|
## Uses |
|
|
|
The primary use of Vicuna is research on large language models and chatbots. |
|
The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. |
|
|
|
## How to Get Started with the Model |
|
|
|
Command line interface: https://github.com/lm-sys/FastChat#vicuna-weights. |
|
APIs (OpenAI API, Huggingface API): https://github.com/lm-sys/FastChat/tree/main#api. |
|
|
|
## Training Details |
|
|
|
Vicuna v1.1 is fine-tuned from LLaMA with supervised instruction fine-tuning. |
|
The training data is around 70K conversations collected from ShareGPT.com. |
|
See more details in the "Training Details of Vicuna Models" section in the appendix of this [paper](https://arxiv.org/pdf/2306.05685.pdf). |
|
|
|
## Evaluation |
|
|
|
Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-judge. See more details in this [paper](https://arxiv.org/pdf/2306.05685.pdf) and [leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard). |
|
|
|
## Difference between different versions of Vicuna |
|
See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md) |
