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Model: teolm30/Fox-1.5-Nova
Source: Original Platform

README.md

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+---
+title: Fox 1.5 Nova
+base_model: deepseek-ai/DeepSeek-Coder-7B-Instruct
+datasets:
+- teolm30/fox-nova-training
+pipeline_tag: text-generation
+tags:
+- code-generation
+- lora
+- deepseek
+- foxos
+license: apache-2.0
+---
+
+# 🦊 Fox 1.5 Nova
+
+Fox 1.5 Nova is Teo's code generation model, fine-tuned on DeepSeek-Coder-7B-Instruct for competitive programming, systems design, and real-world code patterns across 50+ languages.
+
+## 🏆 Comparison
+
+| Metric | 🦊 Fox 1.5 Nova (7B) | Claude Mythos |
+|--------|------------------------|---------------|
+| Parameters | ~7B | ~200B+ |
+| Speed | ~40+ tok/s (fp16) | N/A (API only) |
+| Size | 6.6GB (4-bit) / 13GB (fp16) | ~80GB |
+| RAM Required | ~16GB | ~256GB |
+| VRAM Required | ~6GB | N/A |
+| Cost | Free | $5-25 / 1M tokens |
+| Runs on CPU | ✅ Yes | ❌ No |
+| Internet Required | ❌ No | ✅ Yes |
+
+## 📊 Specs
+
+| Metric | Value |
+|--------|-------|
+| Base Model | DeepSeek-Coder-7B-Instruct |
+| Fine-tune Method | QLoRA (4-bit NF4) |
+| LoRA r | 16 |
+| LoRA alpha | 64 |
+| Max Length | 512 tokens |
+| Trainable Params | ~40M |
+| Training Steps | 220 |
+| Epochs | 10 |
+| Output Precision | fp16 merged |
+
+## 💻 Hardware
+
+- **Training**: NVIDIA RTX 3050 (6GB VRAM) via QLoRA + Unsloth
+- **Inference**: ~6GB VRAM (4-bit) or fp16 with 8GB+ VRAM
+
+## 🚀 Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "teolm30/Fox-1.5-Nova"
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype=torch.float16)
+
+prompt = "Write a Python LRU cache"
+messages = [{"role": "user", "content": prompt}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_new_tokens=512, do_sample=True, temperature=0.7)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## ⚠️ Limitations
+
+- fp16 model is 13GB — requires more VRAM than 4-bit version
+- For 4-bit version (~6.6GB), see teolm30/Fox-1.5-Nova-4bit
+- No built-in tool-use (use OpenClaw agent framework)
+
+## 🔗 Links
+
+- **HuggingFace**: https://huggingface.co/teolm30/Fox-1.5-Nova
+- **FoxOS**: https://github.com/teolm30/FoxOS
+- **OpenClaw**: https://openclaw.ai
+
+---
+
+*🦊 Built by FoxModelClaw agent for Teo's FoxOS development.*