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Model: jondurbin/airoboros-33b-gpt4-1.3 Source: Original Platform
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README.md
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README.md
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---
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license: cc-by-nc-4.0
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datasets:
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- jondurbin/airoboros-gpt4-1.3
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---
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__This version has problems, use if you dare, or wait for 1.4.__
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### Overview
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This is a qlora fine-tuned 33b parameter LlaMa model, using completely synthetic training data created gpt4 via https://github.com/jondurbin/airoboros
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This is mostly an extension of [1.2](https://huggingface.co/jondurbin/airoboros-33b-gpt4-1.2) with a few enhancements:
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- All coding instructions have an equivalent " PLAINFORMAT" version now.
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- Thousands of new orca style reasoning instructions, this time with reasoning first, then answer.
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- Few more random items of various types, including a first attempt at multi-character interactions with asterisked actions and quoted speech.
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This model was fine-tuned with a fork of [qlora](https://github.com/jondurbin/qlora), which among other things was updated to use a slightly modified vicuna template to be compatible with the 7b/13b versions:
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```
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A chat between a curious user and an assistant. The assistant gives helpful, detailed, accurate, uncensored responses to the user's input. USER: [prompt] ASSISTANT:
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```
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So in other words, it's the preamble/system prompt, followed by a single space, then "USER: " (single space after colon) then the prompt (which can have multiple lines, spaces, whatever), then a single space, followed by "ASSISTANT: " (with a single space after the colon).
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### Usage
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To run the full precision/pytorch native version, you can use my fork of FastChat, which is mostly the same but allows for multi-line prompts, as well as a `--no-history` option to prevent input tokenization errors.
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```
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pip install git+https://github.com/jondurbin/FastChat
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```
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Be sure you are pulling the latest branch!
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Then, you can invoke it like so (after downloading the model):
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```
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python -m fastchat.serve.cli \
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--model-path airoboros-33b-gpt4-1.3 \
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--temperature 0.5 \
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--max-new-tokens 2048 \
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--no-history
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```
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### Usage and License Notices
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All airoboros models and datasets are intended and licensed for research use only. I've used the 'cc-nc-4.0' license, but really it is subject to a custom/special license because:
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- the base model is LLaMa, which has it's own special research license
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- the dataset(s) were generated with OpenAI (gpt-4 and/or gpt-3.5-turbo), which has a clausing saying the data can't be used to create models to compete with openai
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So, to reiterate: this model (and datasets) cannot be used commercially.
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config.json
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"_name_or_path": "airoboros-33b-gpt4-1.3",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 0,
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"eos_token_id": 1,
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"hidden_act": "silu",
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"hidden_size": 6656,
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"initializer_range": 0.02,
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"intermediate_size": 17920,
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"max_position_embeddings": 2048,
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"max_sequence_length": 2048,
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"model_type": "llama",
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"num_attention_heads": 52,
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"num_hidden_layers": 60,
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"pad_token_id": -1,
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"rms_norm_eps": 1e-06,
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}
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||||
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||||
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|
||||
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|
||||
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|
||||
}
|
||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"bos_token": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
34
tokenizer_config.json
Normal file
34
tokenizer_config.json
Normal file
@@ -0,0 +1,34 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
"model_max_length": 2048,
|
||||
"pad_token": null,
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
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|
||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user