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Model: daksh-neo/grpo-tax-qwen-3b-gguf
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model: Qwen/Qwen2.5-3B-Instruct
+tags:
+- gguf
+- qwen2
+- grpo
+- tax
+- finance
+- fine-tuned
+pipeline_tag: text-generation
+---
+
+# grpo-tax-qwen-3b-GGUF
+
+> Built with [NEO — Your Autonomous AI Agent](https://heyneo.com)
+
+GGUF quantized versions of **Qwen2.5-3B-Instruct** fine-tuned with **GRPO (Group Relative Policy Optimization)** on tax and financial reasoning tasks.
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Base Model | Qwen/Qwen2.5-3B-Instruct |
+| Fine-tuning Method | GRPO (Group Relative Policy Optimization) |
+| Domain | Tax & Financial Reasoning |
+| Architecture | Qwen2 |
+| Context Length | 32,768 tokens |
+| Format | GGUF |
+
+## Available Quantizations
+
+| File | Quantization | Size | Use Case |
+|------|-------------|------|----------|
+| `grpo-tax-qwen-3b-Q4_K_M.gguf` | Q4_K_M | ~2.0 GB | Best balance of speed and quality |
+| `grpo-tax-qwen-3b-Q8_0.gguf` | Q8_0 | ~3.2 GB | Higher quality, more RAM required |
+
+## Usage
+
+### With llama.cpp
+
+```bash
+# Download the model
+huggingface-cli download daksh-neo/grpo-tax-qwen-3b-gguf grpo-tax-qwen-3b-Q4_K_M.gguf
+
+# Run inference
+./llama-cli -m grpo-tax-qwen-3b-Q4_K_M.gguf \
+  -p "<|im_start|>system\nYou are a tax expert assistant.<|im_end|>\n<|im_start|>user\nWhat is the standard deduction for 2024?<|im_end|>\n<|im_start|>assistant\n" \
+  -n 512 --temp 0.7
+```
+
+### With Ollama
+
+```bash
+# Create a Modelfile
+cat > Modelfile << 'EOF'
+FROM ./grpo-tax-qwen-3b-Q4_K_M.gguf
+TEMPLATE """<|im_start|>system
+{{ .System }}<|im_end|>
+<|im_start|>user
+{{ .Prompt }}<|im_end|>
+<|im_start|>assistant
+"""
+SYSTEM "You are a helpful tax and financial assistant."
+EOF
+
+ollama create grpo-tax-qwen-3b -f Modelfile
+ollama run grpo-tax-qwen-3b
+```
+
+### With Python (llama-cpp-python)
+
+```python
+from llama_cpp import Llama
+
+llm = Llama.from_pretrained(
+    repo_id="daksh-neo/grpo-tax-qwen-3b-gguf",
+    filename="grpo-tax-qwen-3b-Q4_K_M.gguf",
+    n_ctx=4096,
+)
+
+response = llm.create_chat_completion(
+    messages=[
+        {"role": "system", "content": "You are a helpful tax assistant."},
+        {"role": "user", "content": "Explain what a W-2 form is."}
+    ]
+)
+print(response["choices"][0]["message"]["content"])
+```
+
+## Training Details
+
+This model was fine-tuned using GRPO (Group Relative Policy Optimization), a reinforcement learning from human feedback (RLHF) variant that optimizes the model's responses on tax and financial reasoning tasks without requiring a separate reward model. GRPO trains by comparing groups of sampled responses and reinforcing higher-quality answers.
+
+**Training focus areas:**
+- Federal and state tax regulations
+- Tax form interpretation (W-2, 1099, Schedule C, etc.)
+- Deductions and credits
+- Tax planning strategies
+- Financial compliance questions
+
+## Limitations
+
+- This model is fine-tuned on tax knowledge up to its training cutoff and may not reflect the latest tax law changes.
+- Always consult a qualified tax professional for official tax advice.
+- The model is not a substitute for professional legal or financial guidance.
+
+## Related Models
+
+- [daksh-neo/grpo-tax-qwen-1.5b-gguf](https://huggingface.co/daksh-neo/grpo-tax-qwen-1.5b-gguf) — Smaller 1.5B version for resource-constrained environments
+
+## License
+
+Apache 2.0 — see [Qwen2.5 license](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE) for base model terms.
+
+---
+
+<div align="center">
+Built with <a href="https://heyneo.com">NEO</a> — Your Autonomous AI Agent
+</div>

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