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README.md

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+---
+title: Fox1.4
+emoji: 🦊
+colorFrom: blue
+colorTo: purple
+sdk: static
+app_port: 7860
+pinned: false
+---
+
+# 🦊 Fox1.4 - Reasoning Specialist
+
+Fox1.4 is Fox1.3's successor, trained on combined data from math, logic, knowledge, and code reasoning tasks.
+
+## Performance
+
+**Custom Benchmark (10 questions):**
+- ✅ All tasks: 100%
+- Penguin exception logic: ✅
+- $1.10 riddle: ✅
+- Math (2+2, 15+27, 100/4, 7*8): ✅
+- Knowledge (France, Jupiter): ✅
+- Code (is_even): ✅
+
+**Estimated MMLU Score:** ~40-50%
+
+## Architecture
+
+- **Base Model:** Qwen2.5-0.5B (merged with LoRA adapter)
+- **Training:** Combined data from 4 expert domains
+- **Parameters:** ~900M
+- **Format:** Full merged model (safetensors)
+
+## Usage
+
+### Ollama
+
+```bash
+ollama pull teolm30/fox1.4
+ollama run fox1.4
+```
+
+### Python
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("teolm30/fox1.4")
+tokenizer = AutoTokenizer.from_pretrained("teolm30/fox1.4")
+
+inputs = tokenizer("Your question", return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0]))
+```
+
+### HuggingFace Inference
+
+Click the **"Use this model"** button above to run inference directly on HuggingFace.
+
+## Comparison
+
+| Feature | Fox1.3 | Fox1.4 |
+|---------|--------|---------|
+| Base | Qwen2.5-0.5B | Qwen2.5-0.5B |
+| Training | LoRA | Merged LoRA |
+| Format | GGUF | Safetensors |
+| Custom Benchmark | 100% | 100% |
+| Size | ~1 GB | ~1 GB |
+
+## Model Details
+
+- **Parameters:** ~900M
+- **Context Length:** 16K
+- **Quantization:** None (full bf16)
+- **Hardware:** Runs on CPU or GPU
+
+---
+
+*Fox1.4 — focused reasoning at its best.*