初始化项目，由ModelHub XC社区提供模型
Model: teknium/Mistral-Trismegistus-7B Source: Original Platform
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README.md
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README.md
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---
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- mistral-7b
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- instruct
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- finetune
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- gpt4
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- synthetic data
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- distillation
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model-index:
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- name: Mistral-Trismegistus-7B
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results: []
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license: apache-2.0
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language:
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- en
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---
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**Mistral Trismegistus 7B**
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<div style="display: flex; justify-content: center;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6317aade83d8d2fd903192d9/3VJvztFDB1XOWfShuHnb6.png" alt="Mistral Trismegistus" width="50%" style="display: block; margin: 0 auto;">
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</div>
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## Model Description:
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Transcendence is All You Need! Mistral Trismegistus is a model made for people interested in the esoteric, occult, and spiritual.
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Here are some outputs:
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Answer questions about occult artifacts:
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Play the role of a hypnotist:
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## Special Features:
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- **The First Powerful Occult Expert Model**: ~10,000 high quality, deep, rich, instructions on the occult, esoteric, and spiritual.
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- **Fast**: Trained on Mistral, a state of the art 7B parameter model, you can run this model FAST on even a cpu.
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- **Not a positivity-nazi**: This model was trained on all forms of esoteric tasks and knowledge, and is not burdened by the flowery nature of many other models, who chose positivity over creativity.
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## Acknowledgements:
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Special thanks to @a16z.
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## Dataset:
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This model was trained on a 100% synthetic, gpt-4 generated dataset, about ~10,000 examples, on a wide and diverse set of both tasks and knowledge about the esoteric, occult, and spiritual.
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The dataset will be released soon!
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## Usage:
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Prompt Format:
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```
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USER: <prompt>
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ASSISTANT:
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```
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OR
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```
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<system message>
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USER: <prompt>
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ASSISTANT:
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```
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## Benchmarks:
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No benchmark can capture the nature and essense of the quality of spirituality and esoteric knowledge and tasks. You will have to try testing it yourself!
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Training run on wandb here: https://wandb.ai/teknium1/occult-expert-mistral-7b/runs/coccult-expert-mistral-6/overview
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## Licensing:
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Apache 2.0
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---
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"vocab_size": 32000
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}
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||||
}
|
||||
}
|
||||
6
special_tokens_map.json
Normal file
6
special_tokens_map.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"bos_token": "<s>",
|
||||
"eos_token": "</s>",
|
||||
"pad_token": "</s>",
|
||||
"unk_token": "<unk>"
|
||||
}
|
||||
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"trust_remote_code": false,
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user