Commit
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +99 -0
- config.json +28 -0
- generation_config.json +7 -0
- model.safetensors.index.json +550 -0
- output-00001-of-00003.safetensors +3 -0
- output-00002-of-00003.safetensors +3 -0
- output-00003-of-00003.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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license: cc-by-4.0
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datasets:
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- fblgit/tree-of-knowledge
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- garage-bAInd/Open-Platypus
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- allenai/ultrafeedback_binarized_cleaned
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- Open-Orca/OpenOrca
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library_name: transformers
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tags:
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- UNA
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- juanako
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- cybertron
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- xaberius
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---
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# Model Card for una-xaberius-34b-v1-beta (UNA: Uniform Neural Alignment)
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Introducing THE MODEL: **XABERIUS 34B v1-BETA** an *experimental* 34B LLaMa-Yi-34B based model, best on it's series. Trained on SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets.
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Timeline:
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* 05-Dec-2023 **v1-beta released**
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*
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| Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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| [fblgit/una-cybertron-7b-v1-fp16](https://huggingface.co/fblgit/una-cybertron-7b-v1-fp16) | **69.49** | **68.43** | **85.85** | 63.34 | **63.28** | **80.90** | **55.12** |
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| [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) | **69.67** | **68.26** | **85.?4** | 63.23 | **64.63** | **81.37** | **55.04** |
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.. xaberius results will come out soon.
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## Model Details
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Adiestrated with UNA: Uniform Neural Alignment technique (paper going out soon).
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* What is **NOT** UNA? Its not a merged layers model. Is not SLERP or SLURP or similar.
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* What **is** UNA? A formula & A technique to *TAME* models
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* When will be released the code and paper? When have time, contribute and it'll be faster.
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### Model Description
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- **Developed by:** [juanako.ai](https://juanako.ai)
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- **Author:** [Xavier M.](xavi@juanako.ai)
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- **Investors** [CONTACT HERE](billing@juanako.ai)
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- **Model type:** LLaMa YI-34B
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- **Funded by Cybertron's H100's** with few hours training.
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### Prompt
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The model is very good, works well on almost any prompt but ChatML format and Alpaca System gets the best
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```
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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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<|im_start|>user
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Explain QKV<|im_end|>
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<|im_start|>assistant
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```
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```
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### Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat!
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### Human: Explain QKV
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### Assistant:
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```
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```
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[Round <|round|>]
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问:Explain QKV
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答:
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```
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```
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[Round <|round|>]
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Question:Explain QKV
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Answer:
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```
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```
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Question:Explain QKV
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Answer:
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```
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### Framework versions
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- Transformers 4.35.2-UNA
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- Pytorch 2.1.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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### Citations
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If you find Cybertron, Juanako or any of our models useful, specially if you use it for your big brand.. or you clone/merge my modelsm, cite please:
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```
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@misc{unaxaberius34b,
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title={Xaberius 34B: Uniform Neural Alignment},
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author={Xavier Murias},
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year={2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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howpublished = {\url{https://huggingface.co/fblgit/una-xaberius-34b-v1beta}},
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}
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```
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Special thanks to @TheBloke & @bartowski for converting the models and their support to the community. Thank you!
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config.json
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{
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"_name_or_path": "01-ai/Yi-34B-200K",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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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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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 64000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.35.2"
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}
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model.safetensors.index.json
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{
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"metadata": {
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"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": true,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
|
3 |
+
size 1033105
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<|startoftext|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<|endoftext|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": true,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<|startoftext|>",
|
31 |
+
"clean_up_tokenization_spaces": false,
|
32 |
+
"eos_token": "<|endoftext|>",
|
33 |
+
"legacy": false,
|
34 |
+
"model_max_length": 4096,
|
35 |
+
"pad_token": "<unk>",
|
36 |
+
"padding_side": "right",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"truncation_side": "right",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|