---
license: mit
language:
- en
library_name: transformers
tags:
- code
- text-generation
- hrm-text
- fine-tuned
base_model: sapientai/hrm-text-1b
---

# HRM-Text-1B Code Fine-tuned

Fine-tuned from HRM-Text-1B on combined code dataset (192M tokens).

## Training Details
- **Base**: HRM-Text-1B (stacked from HTML/CSS 100k checkpoint)
- **Dataset**: Combined code (Python, JavaScript, TypeScript, SQL, HTML/CSS)
- **Tokens**: 192M
- **Epochs**: 3
- **Learning rate**: 1e-5

## Capabilities
- Python code generation
- JavaScript functions
- SQL queries
- General QA (improved over base)

## Limitations
- Weak at React/TSX syntax
- HTML/CSS output can be malformed
- TypeScript interfaces not well-formed

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("InterstellarCG/HRM-Text-1B-Code-FT")
tokenizer = AutoTokenizer.from_pretrained("InterstellarCG/HRM-Text-1B-Code-FT")
```

## Evaluation

| Task | Base | Fine-tuned |
|------|------|------------|
| Python (is_prime) | Garbage | Correct |
| JS (reverse array) | Garbage | Correct |
| SQL (join query) | Garbage | Correct |
| QA (Paris capital) | Garbage | Correct |