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Model: nshportun/usa-immigration-llama-3.2-3b-v3
Source: Original Platform

README.md

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+---
+language:
+- en
+license: llama3.2
+base_model: meta-llama/Llama-3.2-3B-Instruct
+library_name: transformers
+tags:
+- legal
+- immigration
+- fine-tuned
+- llama
+- united-states
+- lora
+datasets:
+- nshportun/usa-immigration-law-qa
+pipeline_tag: text-generation
+---
+
+# USA Immigration Law --- Llama 3.2 3B Fine-Tuned
+
+> **A 3B fine-tuned model that outperforms the Llama 3 8B zero-shot baseline on U.S. immigration law Q&A
+> (+27% mean score, 4x more fully-correct answers).**
+
+Fine-tuned from [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
+on the [nshportun/usa-immigration-law-qa](https://huggingface.co/datasets/nshportun/usa-immigration-law-qa)
+dataset --- **17,058 source-grounded Q&A pairs** covering all major U.S. immigration subdomains.
+
+## Benchmark Results
+
+Evaluated on 101 held-out questions scored 0-3 by Claude Sonnet 4.6 as judge:
+
+| Model | Mean Score (0-3) | % Fully Correct (3) |
+|-------|-----------------|---------------------|
+| Claude Sonnet 4.6 (zero-shot) | 1.515 | 24.8% |
+| **Llama 3.2 3B fine-tuned (this model)** | **1.079** | **16.8%** |
+| Llama 3 8B zero-shot | 0.851 | 4.0% |
+
+Domain-specific fine-tuning at 3B scale delivers **+27% higher mean score** and **4x more fully-correct answers**
+compared to a larger general-purpose 8B model.
+
+## Training Details
+
+| Setting | Value |
+|---------|-------|
+| LoRA rank (r) | 32 |
+| LoRA alpha | 64 |
+| Target modules | q_proj, v_proj, k_proj, o_proj |
+| LoRA dropout | 0.05 |
+| Epochs | 2 |
+| Learning rate | 5e-5 |
+| Batch size | 2 |
+| Max sequence length | 1024 |
+| Training pairs | 16,065 |
+| Infrastructure | ml.g5.2xlarge (AWS SageMaker) |
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "nshportun/usa-immigration-llama-3.2-3b-v3"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
+
+messages = [
+    {"role": "system", "content": "You are an expert on U.S. immigration law and policy. Answer accurately based on USCIS, 8 CFR, and BIA sources."},
+    {"role": "user", "content": "What is the filing fee for Form I-485?"},
+]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+out = model.generate(**inputs, max_new_tokens=300, do_sample=False)
+print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
+```
+
+## Dataset
+
+The model was trained on [nshportun/usa-immigration-law-qa](https://huggingface.co/datasets/nshportun/usa-immigration-law-qa),
+a dataset of 17,058 source-grounded Q&A pairs from official U.S. immigration sources (USCIS Policy Manual,
+8 CFR/INA, BIA Precedent Decisions, USCIS Forms, DHS/CBP Statistics).
+
+## Disclaimer
+
+For **research and educational purposes only**. Not legal advice.
+Always consult a licensed immigration attorney.