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--- |
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base_model: arcee-ai/Arcee-Maestro-7B-Preview |
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library_name: transformers |
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license: apache-2.0 |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# Triangle104/Arcee-Maestro-7B-Preview-Q5_K_S-GGUF |
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This model was converted to GGUF format from [`arcee-ai/Arcee-Maestro-7B-Preview`](https://huggingface.co/arcee-ai/Arcee-Maestro-7B-Preview) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/arcee-ai/Arcee-Maestro-7B-Preview) for more details on the model. |
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--- |
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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 |
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upcoming work, it already shows promising improvements to mathematical |
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and coding abilities across a range of tasks. |
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Intended Use Cases |
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Advanced reasoning |
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Mathematics |
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Coding |
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Training & Fine-Tuning |
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Initial Training: Began with DeepSeek-R1-Distill-Qwen-7B |
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GRPO: |
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Trained on 450,000 verified math problems |
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Additional bootstrapped coding examples |
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Performance |
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Arcee-Maestro-7B-Preview shows strong performance in mathematics as |
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well as coding, competing against even O1 preview, a model far |
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surprassing its size. |
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Limitations |
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Context Length: 128k Tokens (may vary depending on the final tokenizer settings and system resources). |
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Knowledge Cut-off: Training data may not reflect the latest events or developments beyond June 2024. |
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Ethical Considerations |
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Content Generation Risks: Like any language model, |
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Arcee-Maestro-7B-Preview can generate potentially harmful or biased |
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content if prompted in certain ways. |
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License |
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Arcee-Maestro-7B-Preview (7B) is released under the Apache-2.0 License. |
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You are free to use, modify, and distribute this model in both |
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commercial and non-commercial applications, subject to the terms and |
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conditions of the license. |
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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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" |
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``` |
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### Server: |
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```bash |
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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 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./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" |
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``` |
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or |
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``` |
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./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 |
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``` |
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