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README.md
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@@ -11,6 +11,61 @@ language:
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- en
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---
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# Uploaded model
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- **Developed by:** EpistemeAI
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---
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This is a reasoning and reflect instruction-tuned generative model in 3B size (text in/text out).
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**Model Architecture:**
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Llama 3.2 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) with GRPO fine tuning using unsloth, to align with human preferences for helpfulness and safety.
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Fine tune with Numina math dataset.
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### Use with transformers
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Starting with `transformers >= 4.43.0` onward, you can run conversational inference using the Transformers `pipeline` abstraction or by leveraging the Auto classes with the `generate()` function.
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Make sure to update your transformers installation via `pip install --upgrade transformers`.
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```python
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import torch
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from transformers import pipeline
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model_id = "EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect-ThinkMath"
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pipe = pipeline(
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"text-generation",
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model=model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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messages = [
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{"role": "system", "content": "You are a powerful assistant Respond in the following format:
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<reasoning>
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...
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</reasoning>
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<reflecting>
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...
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</reflecting>
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<answer>
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...
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</answer>"},
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{"role": "user", "content": "Which is bigger? 9.11 or 9.9?"},
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]
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outputs = pipe(
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messages,
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max_new_tokens=256,
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)
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print(outputs[0]["generated_text"][-1])
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```
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## Using [SuperTransformer](https://github.com/tomtyiu/SuperTransformer-SHF)
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```python
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import SuperTransformer
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# Load SuperTransformer Class, (1) Loads Huggingface model, (2) System Prompt (3) Text/prompt (4)Max tokens
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SuperTransformers = SuperTransformers("EpistemeAI/ReasoningCore-3B-Instruct-r01-Reflect-ThinkMath","You are a highly knowledgeable assistant with expertise in mathematics. <reasoning>...</reasoning><reflecting>...</reflecting><answer>...</answer>","What is the area of a circle, radius=16, reason step by step", 2026)
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# 8-bit quantization
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SuperTransformers.HuggingFaceTransformer8bit()
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# or 4-bit quantization
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SuperTransformers.HuggingFaceTransformer4bit()
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```
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# Uploaded model
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- **Developed by:** EpistemeAI
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