Triangle104/Arcee-Maestro-7B-Preview-Q5_K_S-GGUF

This model was converted to GGUF format from arcee-ai/Arcee-Maestro-7B-Preview using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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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.

Intended Use Cases

Advanced reasoning

Mathematics

Coding

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.

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Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Arcee-Maestro-7B-Preview-Q5_K_S-GGUF --hf-file arcee-maestro-7b-preview-q5_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Arcee-Maestro-7B-Preview-Q5_K_S-GGUF --hf-file arcee-maestro-7b-preview-q5_k_s.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Triangle104/Arcee-Maestro-7B-Preview-Q5_K_S-GGUF --hf-file arcee-maestro-7b-preview-q5_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Arcee-Maestro-7B-Preview-Q5_K_S-GGUF --hf-file arcee-maestro-7b-preview-q5_k_s.gguf -c 2048