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bullerwins
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Athene-V2-Chat-exl2_5.0bpw

Text Generation
Transformers
Safetensors
English
qwen2
RLHF
Nexusflow
Athene
Chat Model
conversational
text-generation-inference
Inference Endpoints
5-bit
exl2
Model card Files Community
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  1. .gitattributes +1 -0
  2. Nexusflow_Research_License_.pdf +0 -0
  3. README.md +79 -0
  4. added_tokens.json +24 -0
  5. benchmark.png +0 -0
  6. config.json +39 -0
  7. generation_config.json +12 -0
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  15. output-00006-of-00006.safetensors +3 -0
  16. special_tokens_map.json +31 -0
  17. tokenizer.json +0 -0
  18. tokenizer_config.json +207 -0
  19. vocab.json +0 -0
.gitattributes CHANGED
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
Nexusflow_Research_License_.pdf ADDED
Binary file (161 kB). View file
 
README.md ADDED
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+ ---
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+ license: other
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+ language:
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+ - en
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+ library_name: transformers
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+ tags:
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+ - RLHF
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+ - Nexusflow
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+ - Athene
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+ - Chat Model
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+ base_model:
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+ - Qwen/Qwen2.5-72B-Instruct
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+ ---
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+ # Athene-V2-Chat-72B: Rivaling GPT-4o across Benchmarks
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+
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+ <p align="center">
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+ <a href="https://huggingface.co/Nexusflow" target="_blank">Nexusflow HF</a> - <a href="https://discord.gg/HDSVmNAs3y" target="_blank">Nexusflow Discord</a> - <a href="https://nexusflow.ai/blogs/athene-v2" target="_blank">Athene-V2 Blogpost</a>
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+ </p>
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+
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+
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+ We introduce Athene-V2-Chat-72B, an open-weights LLM on-par with GPT-4o across benchmarks. It is trained through RLHF with Qwen-2.5-72B-Instruct as base model.
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+ Athene-V2-Chat-72B excels in chat, math, and coding. Its sister model, [Athene-V2-Agent-72B](https://huggingface.co/Nexusflow/Athene-V2-Agent), surpasses GPT-4o in complex function calling and agentic applications.
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+
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+
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+ <p align="center" width="100%">
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+ <a><img src="benchmark.png" alt="Benchmark" style="width: 100%; min-width: 300px; display: block; margin: auto;"></a>
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+ </p>
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+
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+ - **Developed by:** The Nexusflow Team
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+ - **Model type:** Chat Model
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+ - **Finetuned from model:** [Qwen 2.5 72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)
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+ - **License**: [Nexusflow Research License](https://huggingface.co/Nexusflow/Athene-V2-Chat/blob/main/Nexusflow_Research_License_.pdf)
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+ - **Blog**: https://nexusflow.ai/blogs/athene-v2
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+
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+ ## Usage
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+ Athene-V2-Chat uses the same chat template as Qwen2.5-72B-Instruct. Below is an example simple usage using the Transformers library.
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+
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+ ```Python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model_name = "Nexusflow/Athene-V2-Chat"
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+
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+ model = AutoModelForCausalLM.from_pretrained(
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+ model_name,
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+ torch_dtype="auto",
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+ device_map="auto"
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+ )
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+ tokenizer = AutoTokenizer.from_pretrained(model_name)
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+
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+ prompt = "Write a Python function to return the nth Fibonacci number in log n runtime."
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+
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+ messages = [
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+ {"role": "user", "content": prompt}
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+ ]
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+
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+ text = tokenizer.apply_chat_template(
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+ messages,
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+ tokenize=False,
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+ add_generation_prompt=True
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+ )
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+
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+ model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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+
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+ generated_ids = model.generate(
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+ **model_inputs,
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+ max_new_tokens=2048
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+ )
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+
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+ generated_ids = [
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+ output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
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+ ]
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+
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+ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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+ ```
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+
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+ Note that by adding a system prompt that encourages the model to think step by step, the model can improve further on difficult math queries and problems like counting `r`s in strawberry. For fairness consideration we **do not** include such system prompt during chat evaluation.
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+
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+ ## Acknowledgment
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+ We would like to thank the [LMSYS Organization](https://lmsys.org/) for their support of testing the model. We would like to thank Qwen Team and the open source community for their efforts in providing the datasets and base models.
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