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arcee-ai / Arcee-Maestro-7B-Preview-GGUF
Model's Last Updated: February 21 2025
Introduction of Arcee-Maestro-7B-Preview-GGUF
Model Details of Arcee-Maestro-7B-Preview-GGUF
GGUF Quantization of Arcee-Maestro-7B-Preview
Arcee-Maestro-7B-Preview (7B) is Arcee's first reasoning model trained with reinforment learning. It is based on the Qwen2.5-7B DeepSeek-R1 distillation DeepSeek-R1-Distill-Qwen-7B with further GPRO training. Though this is just a preview of our upcoming work, it already shows promising improvements to mathematical and coding abilities across a range of tasks.
Model Details
- Architecture Base: DeepSeek-R1-Distill-Qwen-7B (Qwen2.5-7B)
- Parameter Count: 7B
- Reinforcement Learning: GRPO with 450,000 verified math problems with some coding examples
- License: Apache-2.0
Intended Use Cases
- Advanced reasoning
- Mathematics
- Coding
Evaluations
Arcee Maestro 7B preview shows great gains in mathematics and coding, surpassing O1 preview in many metrics.
How to use
Below is a sample code snippet using
transformers
:
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "arcee-ai/Arcee-Maestro-7B-Preview"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
prompt = "Provide a concise summary of quantum entanglement."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=150)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Training & Fine-Tuning
- Initial Training : Began with DeepSeek-R1-Distill-Qwen-7B
-
GRPO
:
- Trained on 450,000 verified math problems
- Additional bootstrapped coding examples
Performance
Arcee-Maestro-7B-Preview shows strong performance in mathematics as well as coding, competing against even O1 preview, a model far surprassing its size.
Limitations
- Context Length: 128k Tokens (may vary depending on the final tokenizer settings and system resources).
- Knowledge Cut-off: Training data may not reflect the latest events or developments beyond June 2024.
Ethical Considerations
- Content Generation Risks: Like any language model, Arcee-Maestro-7B-Preview can generate potentially harmful or biased content if prompted in certain ways.
License
Arcee-Maestro-7B-Preview (7B) is released under the Apache-2.0 License . You are free to use, modify, and distribute this model in both commercial and non-commercial applications, subject to the terms and conditions of the license.
If you have questions or would like to share your experiences using Arcee-Maestro-7B-Preview (7B), please connect with us on social media. We’re excited to see what you build—and how this model helps you innovate!
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