mirror of
https://github.com/oobabooga/text-generation-webui.git
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Support for MPT, INCITE, WizardLM, StableLM, Galactica, Vicuna, Guanaco, and Baize instruction following (#1596)
This commit is contained in:
parent
06c7db017d
commit
814f754451
@ -13,7 +13,7 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
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* Dropdown menu for switching between models
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* Notebook mode that resembles OpenAI's playground
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* Chat mode for conversation and role playing
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* Instruct mode compatible with various formats, including Alpaca, Vicuna, Open Assistant, Dolly, Koala, ChatGLM, and MOSS
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* Instruct mode compatible with various formats, including Alpaca, Vicuna, Open Assistant, Dolly, Koala, ChatGLM, MOSS, LLaVA, RWKV-Raven, Galactica, StableLM, WizardLM, Baize, MPT, and INCITE formats
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* Nice HTML output for GPT-4chan
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* Markdown output for [GALACTICA](https://github.com/paperswithcode/galai), including LaTeX rendering
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* [Custom chat characters](docs/Custom-chat-characters.md)
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4
characters/instruction-following/Baize.yaml
Normal file
4
characters/instruction-following/Baize.yaml
Normal file
@ -0,0 +1,4 @@
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user: "[|AI|]"
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bot: "[|Human|]"
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turn_template: "<|user|><|user-message|>\n<|bot|><|bot-message|>\n"
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context: "The following is a conversation between a human and an AI assistant named Baize (named after a mythical creature in Chinese folklore). Baize is an open-source AI assistant developed by UCSD and Sun Yat-Sen University. The human and the AI assistant take turns chatting. Human statements start with [|Human|] and AI assistant statements start with [|AI|]. The AI assistant always provides responses in as much detail as possible, and in Markdown format. The AI assistant always declines to engage with topics, questions and instructions related to unethical, controversial, or sensitive issues. Complete the transcript in exactly that format.\n[|Human|]Hello!\n[|AI|]Hi!\n"
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4
characters/instruction-following/Galactica Cite.yaml
Normal file
4
characters/instruction-following/Galactica Cite.yaml
Normal file
@ -0,0 +1,4 @@
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user: ""
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bot: "[START_REF]"
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turn_template: "<|user-message|> <|bot|><|bot-message|>\n\n"
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context: ""
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@ -0,0 +1,4 @@
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user: "<question>"
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bot: "<answer>"
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turn_template: "<|user|><|user-message|><|bot|><|bot-message|>"
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context: ""
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4
characters/instruction-following/Galactica Q.yaml
Normal file
4
characters/instruction-following/Galactica Q.yaml
Normal file
@ -0,0 +1,4 @@
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user: "Q:"
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bot: "A:"
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turn_template: "<|user|> <|user-message|>\n\n<|bot|><|bot-message|>\n\n"
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context: ""
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4
characters/instruction-following/Galactica Summary.yaml
Normal file
4
characters/instruction-following/Galactica Summary.yaml
Normal file
@ -0,0 +1,4 @@
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user: ""
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bot: "TLDR:"
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turn_template: "<|user-message|>\n\n<|bot|><|bot-message|>\n\n"
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context: ""
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4
characters/instruction-following/Galactica Work.yaml
Normal file
4
characters/instruction-following/Galactica Work.yaml
Normal file
@ -0,0 +1,4 @@
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user: "Question:"
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bot: "<work>"
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turn_template: "<|user|> <|user-message|>\n\n<|bot|><|bot-message|>\n\n"
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context: ""
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4
characters/instruction-following/Galactica v2.yaml
Normal file
4
characters/instruction-following/Galactica v2.yaml
Normal file
@ -0,0 +1,4 @@
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user: "<human>"
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bot: "<bot>"
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turn_template: "<|user|><|user-message|><|bot|><|bot-message|>"
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context: "<prefix>You are a helpful chatbot name Stan</prefix>"
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4
characters/instruction-following/Galactica.yaml
Normal file
4
characters/instruction-following/Galactica.yaml
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@ -0,0 +1,4 @@
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name: "Answer:"
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your_name: "Question:"
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context: ""
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turn_template: "<|user|> <|user-message|>\n\n<|bot|><|bot-message|>\n\n"
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4
characters/instruction-following/Guanaco non-chat.yaml
Normal file
4
characters/instruction-following/Guanaco non-chat.yaml
Normal file
@ -0,0 +1,4 @@
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user: "### Instruction:"
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bot: "### Response:"
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turn_template: "<|user|>\n<|user-message|>\n\n<|bot|>\n<|bot-message|>\n\n"
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context: ""
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4
characters/instruction-following/INCITE-Chat.yaml
Normal file
4
characters/instruction-following/INCITE-Chat.yaml
Normal file
@ -0,0 +1,4 @@
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user: "<human>:"
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bot: "<bot>:"
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turn_template: "<|user|> <|user-message|>\n<|bot|><|bot-message|>\n"
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context: ""
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4
characters/instruction-following/INCITE-Instruct.yaml
Normal file
4
characters/instruction-following/INCITE-Instruct.yaml
Normal file
@ -0,0 +1,4 @@
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user: "Q:"
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bot: "A:"
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turn_template: "<|user|> <|user-message|>\n<|bot|><|bot-message|>\n"
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context: ""
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characters/instruction-following/MPT-Chat.yaml
Normal file
10
characters/instruction-following/MPT-Chat.yaml
Normal file
@ -0,0 +1,10 @@
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user: "user"
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bot: "assistant"
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context: |
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<|im_start|>system
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- You are a helpful assistant chatbot trained by MosaicML.
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- You answer questions.
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- You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
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- You are more than just an information source, you are also able to write poetry, short stories, and make jokes.<|im_end|>
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turn_template: "<|im_start|><|user|>\n<|user-message|><|im_end|>\n<|im_start|><|bot|>\n<|bot-message|><|im_end|>\n"
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9
characters/instruction-following/StableLM.yaml
Normal file
9
characters/instruction-following/StableLM.yaml
Normal file
@ -0,0 +1,9 @@
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user: "<|USER|>"
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bot: "<|ASSISTANT|>"
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context: |
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<|SYSTEM|># StableLM Tuned (Alpha version)
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- StableLM is a helpful and harmless open-source AI language model developed by StabilityAI.
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- StableLM is excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
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- StableLM is more than just an information source, StableLM is also able to write poetry, short stories, and make jokes.
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- StableLM will refuse to participate in anything that could harm a human.
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turn_template: "<|user|><|user-message|><|bot|><|bot-message|>"
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4
characters/instruction-following/StableVicuna.yaml
Normal file
4
characters/instruction-following/StableVicuna.yaml
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@ -0,0 +1,4 @@
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user: "### Human:"
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bot: "### Assistant:"
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turn_template: "<|user|> <|user-message|>\n<|bot|> <|bot-message|>\n\n"
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context: "### Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat!\n\n"
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@ -1,4 +1,4 @@
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user: "### Human:"
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bot: "### Assistant:"
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turn_template: "<|user|> <|user-message|>\n<|bot|> <|bot-message|>\n"
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context: "A chat between a human and an assistant.\n\n"
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context: "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.\n\n"
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4
characters/instruction-following/Vicuna-v1.1.yaml
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4
characters/instruction-following/Vicuna-v1.1.yaml
Normal file
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user: "USER:"
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bot: "ASSISTANT:"
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turn_template: "<|user|> <|user-message|>\n<|bot|> <|bot-message|></s>\n"
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context: "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n\n"
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@ -1,4 +0,0 @@
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user: "USER:"
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bot: "ASSISTANT:"
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turn_template: "<|user|> <|user-message|>\n<|bot|> <|bot-message|></s>\n"
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context: "A chat between a user and an assistant.\n\n"
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4
characters/instruction-following/WizardLM.yaml
Normal file
4
characters/instruction-following/WizardLM.yaml
Normal file
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user: ""
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bot: "### Response:"
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turn_template: "<|user-message|>\n\n<|bot|><|bot-message|>\n\n</s>"
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context: ""
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@ -6,27 +6,53 @@
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mode: 'chat'
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skip_special_tokens: true
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custom_stopping_strings: ''
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llama-[0-9]*b-4bit$:
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wbits: 4
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.*llama:
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model_type: 'llama'
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.*-(4bit|int4)-(gr128|128g):
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.*gptq(?!u|arl|v2):
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wbits: 4
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groupsize: 128
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.*-(gr128|128g)-(4bit|int4):
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.*(4bit|int4):
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wbits: 4
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groupsize: 128
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.*-3bit-(gr128|128g):
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.*(3bit|int3):
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wbits: 3
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.*(-2bit|_2bit|int2-):
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wbits: 2
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.*(-1bit|_1bit|int1-):
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wbits: 1
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.*(8bit|int8):
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wbits: 8
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.*(-7bit|_7bit|int7-):
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wbits: 7
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.*(-6bit|_6bit|int6-):
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wbits: 6
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.*(-5bit|_5bit|int5-):
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wbits: 5
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.*gptqv2:
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groupsize: 'None'
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.*(-gr32-|-32g-|groupsize32):
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groupsize: 32
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.*(-gr64-|-64g-|groupsize64):
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groupsize: 64
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.*(gr128|128g|groupsize128):
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groupsize: 128
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.*-(gr128|128g)-3bit:
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wbits: 3
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groupsize: 128
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.*(oasst-sft-1-pythia-12b|oasst-sft-6-llama-30b):
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.*(gr1024|1024g|groupsize1024):
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groupsize: 1024
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.*(oasst|stablelm-7b-sft-v7-epoch-3):
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mode: 'instruct'
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instruction_template: 'Open Assistant'
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.*vicuna:
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skip_special_tokens: false
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(?!.*v0)(?!.*1.1)(?!.*1_1)(?!.*stable).*vicuna:
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mode: 'instruct'
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instruction_template: 'Vicuna-v0'
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.*vicuna.*v0:
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mode: 'instruct'
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instruction_template: 'Vicuna-v0'
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.*vicuna.*(1.1|1_1):
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mode: 'instruct'
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instruction_template: 'Vicuna-v1.1'
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.*stable.*vicuna:
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mode: 'instruct'
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instruction_template: 'StableVicuna'
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.*alpaca:
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mode: 'instruct'
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instruction_template: 'Alpaca'
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@ -35,7 +61,7 @@ llama-[0-9]*b-4bit$:
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instruction_template: 'Alpaca'
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wbits: 4
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groupsize: 128
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.*(galactica|oasst):
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.*galactica:
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skip_special_tokens: false
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.*dolly-v[0-9]-[0-9]*b:
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mode: 'instruct'
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@ -59,7 +85,51 @@ llama-[0-9]*b-4bit$:
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.*moss-moon.*sft:
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mode: 'instruct'
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instruction_template: 'MOSS'
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.*stablelm-tuned:
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mode: 'instruct'
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instruction_template: 'StableLM'
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truncation_length: 4096
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chat_prompt_size: 4096
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chat_prompt_size_max: 4096
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.*stablelm-base:
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truncation_length: 4096
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chat_prompt_size: 4096
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chat_prompt_size_max: 4096
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.*wizardlm:
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mode: 'instruct'
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model_type: 'llama'
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instruction_template: 'WizardLM'
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.*galactica.*finetuned:
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mode: 'instruct'
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instruction_template: 'Galactica Finetuned'
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.*galactica.*-v2:
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mode: 'instruct'
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instruction_template: 'Galactica v2'
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(?!.*finetuned)(?!.*-v2).*galactica:
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mode: 'instruct'
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instruction_template: 'Galactica'
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.*guanaco:
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mode: 'instruct'
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instruction_template: 'Guanaco non-chat'
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.*baize:
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mode: 'instruct'
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instruction_template: 'Baize'
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.*mpt-.*instruct:
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mode: 'instruct'
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instruction_template: 'Alpaca'
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.*mpt-.*chat:
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mode: 'instruct'
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instruction_template: 'MPT-Chat'
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(?!.*-flan-)(?!.*-t5-).*lamini-:
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mode: 'instruct'
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instruction_template: 'Alpaca'
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.*incite.*chat:
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mode: 'instruct'
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instruction_template: 'INCITE-Chat'
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.*incite.*instruct:
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mode: 'instruct'
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instruction_template: 'INCITE-Instruct'
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.*pygmalion-7b:
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model_type: 'llama'
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.*metharme-7b:
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model_type: 'llama'
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model_type: 'llama'
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@ -145,12 +145,12 @@ def load_quantized(model_name):
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# Find the model type
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if not shared.args.model_type:
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name = model_name.lower()
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if any((k in name for k in ['llama', 'alpaca', 'vicuna', 'llava'])):
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model_type = 'llama'
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elif any((k in name for k in ['opt-', 'galactica'])):
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if any((k in name for k in ['opt-', 'opt_', 'opt1', 'opt3', 'optfor', 'galactica', 'galpaca', 'pygmalion-350m'])):
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model_type = 'opt'
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elif any((k in name for k in ['gpt-j', 'pygmalion-6b'])):
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elif any((k in name for k in ['gpt-j', 'gptj', 'gpt4all-j', 'malion-6b', 'pygway'])):
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model_type = 'gptj'
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elif any((k in name for k in ['llama', 'alpac', 'vicuna', 'guanaco', 'koala', 'llava', 'wizardlm'])):
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model_type = 'llama'
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else:
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logging.error("Can't determine model type from model name. Please specify it manually using --model_type argument")
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exit()
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'prompts': {
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'default': 'QA',
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'.*(gpt4chan|gpt-4chan|4chan)': 'GPT-4chan',
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'.*oasst': 'Open Assistant',
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'.*alpaca': "Alpaca",
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'.*(oasst|stablelm-7b-sft-v7-epoch-3)': 'Open Assistant',
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'.*(alpac|dolly)': "Alpaca",
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'.*mpt-.*instruct': "Alpaca",
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"(?!.*v0)(?!.*1.1)(?!.*1_1)(?!.*stable).*vicuna": "Vicuna v0",
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".*vicuna.*v0": "Vicuna v0",
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".*vicuna.*(1.1|1_1)": "Vicuna v1.1",
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".*stable.*vicuna": "StableVicuna",
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".*guanaco": "Guanaco-Chat",
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".*koala": "Koala",
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".*stablelm-tuned": "StableLM",
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".*wizardlm": "WizardLM",
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".*galactica.*finetuned": "Galactica Finetuned",
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".*galactica.*-v2": "Galactica v2",
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"(?!.*finetuned)(?!.*-v2).*galactica": "Galactica",
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".*baize": "Baize",
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".*mpt-.*instruct": "Alpaca",
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".*mpt-.*chat": "MPT-Chat",
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"(?!.*-flan-)(?!.*-t5-).*lamini-": "Alpaca",
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".*incite.*chat": "INCITE-Chat",
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".*incite.*instruct": "INCITE-Instruct",
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},
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'lora_prompts': {
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'default': 'QA',
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'.*alpaca': "Alpaca",
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'.*baize': "Baize",
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}
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}
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14
presets/StableLM-HuggingFace Chat.txt
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14
presets/StableLM-HuggingFace Chat.txt
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max_new_tokens=1024
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do_sample=True
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top_p=0.95
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top_k=1000
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temperature=1.0
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num_beams=1
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typical_p=1.0
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repetition_penalty=1.0
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encoder_repetition_penalty=1.0
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no_repeat_ngram_size=0
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min_length=0
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penalty_alpha=0
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length_penalty=1.0
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early_stopping=False
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14
presets/StableLM-Jupyter Notebook.txt
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14
presets/StableLM-Jupyter Notebook.txt
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max_new_tokens=128
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temperature=0.7
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top_k=0
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top_p=0.9
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do_sample=True
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typical_p=1.0
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repetition_penalty=1.0
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encoder_repetition_penalty=1.0
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no_repeat_ngram_size=0
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min_length=0
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penalty_alpha=0
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num_beams=1
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length_penalty=1.0
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early_stopping=False
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14
presets/StableLM-ReadMe Snippet.txt
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14
presets/StableLM-ReadMe Snippet.txt
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max_new_tokens=64
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temperature=0.7
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do_sample=True
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top_p=1.0
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top_k=50
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typical_p=1.0
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repetition_penalty=1.0
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encoder_repetition_penalty=1.0
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no_repeat_ngram_size=0
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min_length=0
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penalty_alpha=0
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num_beams=1
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length_penalty=1.0
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early_stopping=False
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5
prompts/Baize.txt
Normal file
5
prompts/Baize.txt
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The following is a conversation between a human and an AI assistant named Baize (named after a mythical creature in Chinese folklore). Baize is an open-source AI assistant developed by UCSD and Sun Yat-Sen University. The human and the AI assistant take turns chatting. Human statements start with [|Human|] and AI assistant statements start with [|AI|]. The AI assistant always provides responses in as much detail as possible, and in Markdown format. The AI assistant always declines to engage with topics, questions and instructions related to unethical, controversial, or sensitive issues. Complete the transcript in exactly that format.
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[|Human|]Hello!
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[|AI|]Hi!
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[|Human|]What is the population of China?
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[|AI|]
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9
prompts/Dolly-with-Input.txt
Normal file
9
prompts/Dolly-with-Input.txt
Normal file
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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Instruction
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Input:
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Input
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### Response:
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1
prompts/Galactica Cite.txt
Normal file
1
prompts/Galactica Cite.txt
Normal file
@ -0,0 +1 @@
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||||
A paper that introduced a neural network architecture for recognizing digits [START_REF]
|
9
prompts/Galactica Convert.txt
Normal file
9
prompts/Galactica Convert.txt
Normal file
@ -0,0 +1,9 @@
|
||||
Question: Translate the following Math formula:
|
||||
|
||||
\[
|
||||
\zeta(s) = \sum_{n=1}^{\infty} n^{-s}
|
||||
\]
|
||||
|
||||
into plain English.
|
||||
|
||||
Answer:
|
1
prompts/Galactica Doc.txt
Normal file
1
prompts/Galactica Doc.txt
Normal file
@ -0,0 +1 @@
|
||||
# Multi-Head Attention
|
1
prompts/Galactica Finetuned.txt
Normal file
1
prompts/Galactica Finetuned.txt
Normal file
@ -0,0 +1 @@
|
||||
<question>How to make a campfire<answer>
|
1
prompts/Galactica Paper.txt
Normal file
1
prompts/Galactica Paper.txt
Normal file
@ -0,0 +1 @@
|
||||
Title: Self-Supervised Learning, A Survey
|
3
prompts/Galactica Q.txt
Normal file
3
prompts/Galactica Q.txt
Normal file
@ -0,0 +1,3 @@
|
||||
Q: What is the notch signaling pathway?
|
||||
|
||||
A:
|
3
prompts/Galactica Summary.txt
Normal file
3
prompts/Galactica Summary.txt
Normal file
@ -0,0 +1,3 @@
|
||||
Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific knowledge is accessed through search engines, but they are unable to organize scientific knowledge alone. In this paper we introduce Galactica: a large language model that can store, combine and reason about scientific knowledge. We train on a large scientific corpus of papers, reference material, knowledge bases and many other sources. We outperform existing models on a range of scientific tasks. On technical knowledge probes such as LaTeX equations, Galactica outperforms the latest GPT-3 by 68.2% versus 49.0%. Galactica also performs well on reasoning, outperforming Chinchilla on mathematical MMLU by 41.3% to 35.7%, and PaLM 540B on MATH with a score of 20.4% versus 8.8%. It also sets a new state-of-the-art on downstream tasks such as PubMedQA and MedMCQA dev of 77.6% and 52.9%. And despite not being trained on a general corpus, Galactica outperforms BLOOM and OPT-175B on BIG-bench. We believe these results demonstrate the potential for language models as a new interface for science. We open source the model for the benefit of the scientific community.
|
||||
|
||||
TLDR:
|
3
prompts/Galactica Work.txt
Normal file
3
prompts/Galactica Work.txt
Normal file
@ -0,0 +1,3 @@
|
||||
Question: A needle 35 mm long rests on a water surface at 20◦C. What force over and above the needle’s weight is required to lift the needle from contact with the water surface? σ = 0.0728m.
|
||||
|
||||
<work>
|
1
prompts/Galactica v2.txt
Normal file
1
prompts/Galactica v2.txt
Normal file
@ -0,0 +1 @@
|
||||
<prefix>You are a helpful chatbot name Stan</prefix><human>What's my name?<bot>
|
3
prompts/Galactica.txt
Normal file
3
prompts/Galactica.txt
Normal file
@ -0,0 +1,3 @@
|
||||
Question: What is the notch signaling pathway?
|
||||
|
||||
Answer:
|
7
prompts/Guanaco-Chat.txt
Normal file
7
prompts/Guanaco-Chat.txt
Normal file
@ -0,0 +1,7 @@
|
||||
### Instruction:
|
||||
User: I'm considering getting a pet. Assistant: Owning a pet can be a very rewarding experience. Research the type of pet you're interested in, find out if it fits into your lifestyle and home, and create a budget for food, vet visits, and other expenses.
|
||||
|
||||
### Input:
|
||||
User: How can I make sure my pet is happy and healthy?
|
||||
|
||||
### Response:
|
8
prompts/Guanaco-System.txt
Normal file
8
prompts/Guanaco-System.txt
Normal file
@ -0,0 +1,8 @@
|
||||
### Instruction:
|
||||
User: I'm trying to better understand quantum physics. Can you explain what a quantum state is? Assistant: Sure! A quantum state is a mathematical description of the properties of a quantum system. It describes the physical condition of a system and can involve multiple parameters, such as position, momentum, and energy. This state acts like a wave and its behavior is determined by the Schrödinger equation. User: Can you explain the Schrödinger equation?
|
||||
|
||||
### Input:
|
||||
System: The Schrödinger equation is a mathematical equation which describes the behavior of a quantum system. It determines the shape of the wavefunction, which describes how a quantum system evolves with time. The equation describes the relationship between the energy of the system and its wavefunction, and its behavior is determined by the values of the measurable parameters such as momentum and position.
|
||||
User: How does the Schrödinger equation relate to other equations in physics?
|
||||
|
||||
### Response:
|
4
prompts/Guanaco-non-chat.txt
Normal file
4
prompts/Guanaco-non-chat.txt
Normal file
@ -0,0 +1,4 @@
|
||||
### Instruction:
|
||||
Generate a list of ten dining places when you are in Rome.
|
||||
|
||||
### Response:
|
7
prompts/Guanaco-with-Input.txt
Normal file
7
prompts/Guanaco-with-Input.txt
Normal file
@ -0,0 +1,7 @@
|
||||
### Instruction:
|
||||
Classify the given text into three categories, output the labels.
|
||||
|
||||
### Input:
|
||||
The movie was predictable, yet enjoyable.
|
||||
|
||||
### Response:
|
2
prompts/INCITE-Chat.txt
Normal file
2
prompts/INCITE-Chat.txt
Normal file
@ -0,0 +1,2 @@
|
||||
<human>: Who is Alan Turing?
|
||||
<bot>:
|
2
prompts/INCITE-Instruct.txt
Normal file
2
prompts/INCITE-Instruct.txt
Normal file
@ -0,0 +1,2 @@
|
||||
Q: The capital of France is?
|
||||
A:
|
1
prompts/Koala.txt
Normal file
1
prompts/Koala.txt
Normal file
@ -0,0 +1 @@
|
||||
BEGINNING OF CONVERSATION: USER: Hello! GPT:Hi! How can I help you?</s>USER: What is the largest animal on earth? GPT:
|
11
prompts/MPT-Chat.txt
Normal file
11
prompts/MPT-Chat.txt
Normal file
@ -0,0 +1,11 @@
|
||||
<|im_start|>system
|
||||
- You are a helpful assistant chatbot trained by MosaicML.
|
||||
- You answer questions.
|
||||
- You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
|
||||
- You are more than just an information source, you are also able to write poetry, short stories, and make jokes.<|im_end|>
|
||||
<|im_start|>user
|
||||
How are you<|im_end|>
|
||||
<|im_start|>assistant
|
||||
I am doing well!<|im_end|>
|
||||
<|im_start|>user
|
||||
How are you now?<|im_end|>
|
7
prompts/StableLM.txt
Normal file
7
prompts/StableLM.txt
Normal file
@ -0,0 +1,7 @@
|
||||
<|SYSTEM|># StableLM Tuned (Alpha version)
|
||||
- StableLM is a helpful and harmless open-source AI language model developed by StabilityAI.
|
||||
- StableLM is excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
|
||||
- StableLM is more than just an information source, StableLM is also able to write poetry, short stories, and make jokes.
|
||||
- StableLM will refuse to participate in anything that could harm a human.
|
||||
<|USER|>Write a story about the future of AI development
|
||||
<|ASSISTANT|>
|
4
prompts/StableVicuna.txt
Normal file
4
prompts/StableVicuna.txt
Normal file
@ -0,0 +1,4 @@
|
||||
### Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat!
|
||||
|
||||
### Human: Write a story about the future of AI development
|
||||
### Assistant:
|
4
prompts/Vicuna v0.txt
Normal file
4
prompts/Vicuna v0.txt
Normal file
@ -0,0 +1,4 @@
|
||||
A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
|
||||
|
||||
### Human: Write a story about the future of AI development
|
||||
### Assistant:
|
4
prompts/Vicuna v1.1.txt
Normal file
4
prompts/Vicuna v1.1.txt
Normal file
@ -0,0 +1,4 @@
|
||||
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
|
||||
|
||||
USER: Write a story about the future of AI development
|
||||
ASSISTANT:
|
3
prompts/WizardLM.txt
Normal file
3
prompts/WizardLM.txt
Normal file
@ -0,0 +1,3 @@
|
||||
If a car travels 120 miles in 2 hours, what is its average speed in miles per hour?
|
||||
|
||||
### Response:
|
@ -40,11 +40,29 @@
|
||||
"prompts": {
|
||||
"default": "QA",
|
||||
".*(gpt4chan|gpt-4chan|4chan)": "GPT-4chan",
|
||||
".*oasst": "Open Assistant",
|
||||
".*alpaca": "Alpaca"
|
||||
".*(oasst|stablelm-7b-sft-v7-epoch-3)": "Open Assistant",
|
||||
".*(alpac|dolly)": "Alpaca",
|
||||
"(?!.*v0)(?!.*1.1)(?!.*1_1)(?!.*stable).*vicuna": "Vicuna v0",
|
||||
".*vicuna.*v0": "Vicuna v0",
|
||||
".*vicuna.*(1.1|1_1)": "Vicuna v1.1",
|
||||
".*stable.*vicuna": "StableVicuna",
|
||||
".*guanaco": "Guanaco-Chat",
|
||||
".*koala": "Koala",
|
||||
".*stablelm-tuned": "StableLM",
|
||||
".*wizardlm": "WizardLM",
|
||||
".*galactica.*finetuned": "Galactica Finetuned",
|
||||
".*galactica.*-v2": "Galactica v2",
|
||||
"(?!.*finetuned)(?!.*-v2).*galactica": "Galactica",
|
||||
".*baize": "Baize",
|
||||
".*mpt-.*instruct": "Alpaca",
|
||||
".*mpt-.*chat": "MPT-Chat",
|
||||
"(?!.*-flan-)(?!.*-t5-).*lamini-": "Alpaca",
|
||||
".*incite.*chat": "INCITE-Chat",
|
||||
".*incite.*instruct": "INCITE-Instruct"
|
||||
},
|
||||
"lora_prompts": {
|
||||
"default": "QA",
|
||||
".*(alpaca-lora-7b|alpaca-lora-13b|alpaca-lora-30b)": "Alpaca"
|
||||
".*(alpaca-lora-7b|alpaca-lora-13b|alpaca-lora-30b)": "Alpaca",
|
||||
".*baize": "Baize"
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user