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LoneStriker
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Quyen-Pro-Max-v0.1-6.0bpw-h6-exl2

Text Generation
Transformers
PyTorch
English
qwen2
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +63 -0
  2. added_tokens.json +5 -0
  3. config.json +27 -0
  4. generation_config.json +7 -0
  5. huggingface-metadata.txt +34 -0
  6. merges.txt +0 -0
  7. output-00001-of-00007.safetensors +3 -0
  8. output-00002-of-00007.safetensors +3 -0
  9. output-00003-of-00007.safetensors +3 -0
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  11. output-00005-of-00007.safetensors +3 -0
  12. output-00006-of-00007.safetensors +3 -0
  13. output-00007-of-00007.safetensors +3 -0
  14. pytorch_model.bin.index.json +970 -0
  15. special_tokens_map.json +20 -0
  16. tokenizer.json +0 -0
  17. tokenizer_config.json +43 -0
  18. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ datasets:
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+ - teknium/OpenHermes-2.5
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+ - LDJnr/Capybara
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+ - Intel/orca_dpo_pairs
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+ - argilla/distilabel-capybara-dpo-7k-binarized
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # Quyen
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+ <img src="quyen.webp" width="512" height="512" alt="Quyen">
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+
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+ # Model Description
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+ Quyen is our first flagship LLM series based on the Qwen1.5 family. We introduced 6 different versions:
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+
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+ - **Quyen-SE (0.5B)**
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+ - **Quyen-Mini (1.8B)**
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+ - **Quyen (4B)**
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+ - **Quyen-Plus (7B)**
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+ - **Quyen-Pro (14B)**
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+ - **Quyen-Pro-Max (72B)**
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+
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+ All models were trained with SFT and DPO using the following dataset:
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+
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+ - *OpenHermes-2.5* by **Teknium**
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+ - *Capyabara* by **LDJ**
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+ - *argilla/distilabel-capybara-dpo-7k-binarized* by **argilla**
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+ - *orca_dpo_pairs* by **Intel**
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+ - and Private Data by **Ontocord** & **BEE-spoke-data**
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+
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+ # Prompt Template
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+ - All Quyen models use ChatML as the default template:
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+
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+ ```
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+ <|im_start|>system
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+ You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.<|im_end|>
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+ <|im_start|>user
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+ Hello world.<|im_end|>
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+ <|im_start|>assistant
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+ ```
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+
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+ - You can also use `apply_chat_template`:
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+
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+ ```python
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+ messages = [
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+ {"role": "system", "content": "You are a sentient, superintelligent artificial general intelligence, here to teach and assist me."},
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+ {"role": "user", "content": "Hello world."}
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+ ]
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+ gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
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+ model.generate(**gen_input)
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+ ```
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+
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+ # Benchmarks:
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+
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+ - Coming Soon! We will update the benchmarks later
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+
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+ # Acknowledgement
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+ - We're incredibly grateful to **Tensoic** and **Ontocord** for their generous support with compute and data preparation.
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+ - Special thanks to the Qwen team for letting us access the models early for these amazing finetunes.
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+ "<|im_start|>": 151644
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+ }
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+ {
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+ "_name_or_path": "Qwen/Qwen2-beta-72B",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 24576,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 80,
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+ "num_key_value_heads": 64,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.0.dev0",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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+ "transformers_version": "4.38.0.dev0"
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+ url: https://huggingface.co/vilm/Quyen-Pro-Max-v0.1
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+ branch: main
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+ download date: 2024-02-06 12:41:18
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