✨ Merged LoRA with base model - Production ready

README.md

@@ -1,64 +1,52 @@
 ---
-library_name: peft
 license: apache-2.0
 base_model: Qwen/Qwen2.5-Math-7B-Instruct
 tags:
-- base_model:adapter:Qwen/Qwen2.5-Math-7B-Instruct
-- lora
-- sft
-- transformers
-- trl
-datasets:
-- generator
+  - math
+  - ib-mathematics
+  - qwen2
+  - fine-tuned
+  - education
+  - ontology
+  - chain-of-thought
+language:
+  - en
 pipeline_tag: text-generation
-model-index:
-- name: IB-Math-Ontology-7B
-  results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # IB-Math-Ontology-7B
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct) on the generator dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 4
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 3
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.18.0
-- Transformers 4.57.3
-- Pytorch 2.9.1+cu128
-- Datasets 4.4.2
-- Tokenizers 0.22.1
+Fine-tuned Qwen2.5-Math-7B-Instruct for IB Mathematics AA with ontology-based Chain-of-Thought reasoning.
+
+## Features
+- 🎯 **IB Math AA Specialized**: Trained on 1,332 ontology-based examples
+- 💭 **Chain-of-Thought**: Uses `<think>` tags for step-by-step reasoning
+- 📚 **Curriculum-Aligned**: Covers all 5 IB Math AA topics
+- ⚠️ **Pitfall Awareness**: Warns about common student mistakes
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("ongilLabs/IB-Math-Ontology-7B", torch_dtype="auto", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("ongilLabs/IB-Math-Ontology-7B")
+
+prompt = "Find the derivative of f(x) = x³ - 2x² + 5x [6 marks]"
+messages = [
+    {"role": "system", "content": "You are an expert IB Mathematics AA tutor. Think step-by-step and explain concepts clearly."},
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Training Details
+- **Base Model**: Qwen2.5-Math-7B-Instruct
+- **Method**: LoRA (r=64, alpha=128)
+- **Dataset**: 1,332 IB Math Ontology examples with CoT
+- **Hardware**: NVIDIA A100 (80GB)
+- **Epochs**: 3
+- **Precision**: BF16

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 4096,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "transformers_version": "4.57.3"
+}

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