Initial merged FP16 model commit

README.md

@@ -17,9 +17,9 @@ license: other
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-# LmSys' Vicuna 13B 1.3.0 fp16
+# LmSys' Vicuna 13B 1.3.0 merged with Kaio Ken's SuperHOT 8K fp16
 
-These files are GPTQ 4bit model files for [LmSys' Vicuna 13B 1.3.0](https://huggingface.co/lmsys/vicuna-13b-v1.3) merged with [Kaio Ken's SuperHOT 8K](https://huggingface.co/kaiokendev/superhot-30b-8k-no-rlhf-test).
+These files are GPTQ 4bit model files for [LmSys' Vicuna 13B 1.3.0 merged with Kaio Ken's SuperHOT 8K](https://huggingface.co/lmsys/vicuna-13b-v1.3) merged with [Kaio Ken's SuperHOT 8K](https://huggingface.co/kaiokendev/superhot-30b-8k-no-rlhf-test).
 
 [Kaio Ken's SuperHOT 30B LoRA](https://huggingface.co/kaiokendev/superhot-30b-8k-no-rlhf-test) is merged on to the base model, and then 8K context can be achieved during inference by using `trust_remote_code=True`.
 
@@ -91,6 +91,46 @@ I trained the LoRA with the following configuration:
   - AdamW beta1 of 0.9 and beta2 0.99, epsilon of 1e-5
   - Trained on 4-bit base model
 
-# Original model card: LmSys' Vicuna 13B 1.3.0
+# Original model card: LmSys' Vicuna 13B 1.3.0 merged with Kaio Ken's SuperHOT 8K
 
-No original model card was provided.
+
+# 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 v1.3 is fine-tuned from LLaMA with supervised instruction fine-tuning.
+The training data is around 140K 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).
+
+## Difference between different versions of Vicuna
+See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)