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--- |
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library_name: transformers |
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tags: |
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- conversational |
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- chain-of-thought |
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- education |
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- llama-cpp |
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- gguf-my-repo |
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base_model: caedencode/Caeden-o1 |
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--- |
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# Triangle104/Caeden-o1-Q5_K_S-GGUF |
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This model was converted to GGUF format from [`caedencode/Caeden-o1`](https://huggingface.co/caedencode/Caeden-o1) 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/caedencode/Caeden-o1) for more details on the model. |
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--- |
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Model details |
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CaedenAI is a conversational AI model fine-tuned to provide detailed |
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reasoning in its responses using the Chain-of-Thought (CoT) methodology. |
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It is designed for educational use, enabling users to understand the |
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reasoning process behind answers. |
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Developed by: Caeden Rajoo |
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Model type: Conversational AI with CoT reasoning |
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License: Apache 2 |
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Finetuned from model: Qwen/Qwen2.5-1.5B |
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Primary Use Case: Education and knowledge expansion |
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This model is fine-tuned for generating step-by-step reasoning for |
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queries, making it an excellent tool for educational environments and |
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learning applications. |
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Uses |
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Direct Use |
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This model can be directly applied in: |
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Educational environments to help students learn with explanations. |
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Applications where detailed reasoning is required for understanding answers. |
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Conversational AI systems that prioritize reasoning over simple answers. |
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Out-of-Scope Use |
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This model may not be suitable for: |
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Scenarios requiring highly specialized domain knowledge not covered in the training data. |
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Tasks requiring real-time response for critical systems (e.g., healthcare, safety). |
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Bias, Risks, and Limitations |
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The model inherits limitations from its training data and base model. |
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Users should consider potential biases or incomplete information in |
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responses. |
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Recommendations |
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The model's output should be reviewed for accuracy in critical use cases. |
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Users should ensure that ethical considerations are met when using the model in sensitive environments. |
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How to Get Started with the Model |
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Here’s how you can load and use CaedenAI: |
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import torch |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model = AutoModelForCausalLM.from_pretrained("caedencode/Caeden-o1") |
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-1.5B") |
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu") |
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model = model.to(device) |
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def generate_answer(question): |
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prompt = f"Question: {question}\nReasoning:\n" |
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inputs = tokenizer(prompt, return_tensors="pt").to(device) |
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outputs = model.generate(**inputs, max_length=200, num_beams=5, early_stopping=True) |
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return tokenizer.decode(outputs[0], skip_special_tokens=True) |
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question = "What is the largest planet in our solar system?" |
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answer = generate_answer(question) |
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print(answer) |
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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/Caeden-o1-Q5_K_S-GGUF --hf-file caeden-o1-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/Caeden-o1-Q5_K_S-GGUF --hf-file caeden-o1-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/Caeden-o1-Q5_K_S-GGUF --hf-file caeden-o1-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/Caeden-o1-Q5_K_S-GGUF --hf-file caeden-o1-q5_k_s.gguf -c 2048 |
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``` |
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