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README.md

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+---
+license: cc-by-4.0
+datasets:
+- fblgit/tree-of-knowledge
+- garage-bAInd/Open-Platypus
+- allenai/ultrafeedback_binarized_cleaned
+- Open-Orca/OpenOrca
+library_name: transformers
+tags:
+- UNA
+- juanako
+- cybertron
+- xaberius
+---
+
+# Model Card for una-xaberius-34b-v1-beta (UNA: Uniform Neural Alignment)
+
+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.
+
+Timeline:
+* 05-Dec-2023 **v1-beta released**
+* 
+  
+| Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| [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** |
+| [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** |
+.. xaberius results will come out soon.
+
+## Model Details
+
+Adiestrated with UNA: Uniform Neural Alignment technique (paper going out soon). 
+* What is **NOT** UNA? Its not a merged layers model. Is not SLERP or SLURP or similar.
+* What **is** UNA? A formula & A technique to *TAME* models
+* When will be released the code and paper? When have time, contribute and it'll be faster.
+
+### Model Description
+
+- **Developed by:** [juanako.ai](https://juanako.ai)
+- **Author:** [Xavier M.](xavi@juanako.ai)
+- **Investors** [CONTACT HERE](billing@juanako.ai)
+- **Model type:** LLaMa YI-34B
+- **Funded by Cybertron's H100's** with few hours training.
+
+### Prompt
+The model is very good, works well on almost any prompt but ChatML format and Alpaca System gets the best
+```
+<|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
+Explain QKV<|im_end|>
+<|im_start|>assistant
+```
+```
+### Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat!
+
+### Human: Explain QKV
+### Assistant:
+```
+```
+[Round <|round|>]
+问：Explain QKV
+答：
+```
+```
+[Round <|round|>]
+Question：Explain QKV
+Answer：
+```
+```
+Question：Explain QKV
+Answer：
+```
+
+
+### Framework versions
+
+- Transformers 4.35.2-UNA
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1
+
+### Citations
+    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:
+```
+@misc{unaxaberius34b,
+  title={Xaberius 34B: Uniform Neural Alignment}, 
+  author={Xavier Murias},
+  year={2023},
+  publisher = {HuggingFace},
+  journal = {HuggingFace repository},
+  howpublished = {\url{https://huggingface.co/fblgit/una-xaberius-34b-v1beta}},
+}
+```
+
+Special thanks to @TheBloke & @bartowski for converting the models and their support to the community. Thank you!

config.json

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+{
+  "_name_or_path": "01-ai/Yi-34B-200K",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 7168,
+  "initializer_range": 0.02,
+  "intermediate_size": 20480,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 56,
+  "num_hidden_layers": 60,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 64000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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