Vicuna for SALMONN

SALMONN_PATHS/SALMONN_SETUP.sh

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+git clone https://huggingface.co/tsinghua-ee/SALMONN/
+mv SALMONN/salmonn_v1.pth .
+rm -r SALMONN
+git clone https://huggingface.co/lmsys/vicuna-13b-v1.1
+git clone https://huggingface.co/openai/whisper-large-v2
+wget https://huggingface.co/spaces/fffiloni/SALMONN-7B-gradio/resolve/677c0125de736ab92751385e1e8664cd03c2ce0d/beats/BEATs_iter3_plus_AS2M_finetuned_on_AS2M_cpt2.pt?download=true
+mv BEATs_iter3_plus_AS2M_finetuned_on_AS2M_cpt2.pt?download=true BEATs_iter3_plus_AS2M_finetuned_on_AS2M_cpt2.pt

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SALMONN_PATHS/vicuna-13b-v1.1/README.md

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+---
+inference: false
+---
+
+**NOTE: New version available**  
+Please check out a newer version of the weights [here](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md).
+
+<br>
+
+# 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)
+
+## Acknowledgement
+
+Special thanks to [@TheBloke](https://huggingface.co/TheBloke) for hosting this merged version of weights earlier.

SALMONN_PATHS/vicuna-13b-v1.1/config.json

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+  "_name_or_path": "/workspace/llama-13B-HF",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.29.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

SALMONN_PATHS/vicuna-13b-v1.1/generation_config.json

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+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.0.dev0"
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