---
language:
- en
license: other
license_name: hyper-v2
tags:
- ai-evaluation
- mathematics
- chain-of-thought
- hermes
- hermes-format
- qwen2
- post-trained
- anti-hallucination
datasets:
- ray0rf1re/FineWeb-Nano
- Nix-ai/Cat-v2.8
- databricks/databricks-dolly-15k
- allenai/ai2_arc
- lighteval/MATH-Hard
- tatsu-lab/alpaca
- HuggingFaceTB/smoltalk
- openai/gsm8k
---
**DO NOT USE, IT IS SEVERLY UNDERTRAINED**
# HyperNix.2  (Post-Trained)

**Version:** 0.2-pt  
**Method:** Hermes-style SFT — realignment + CoT + anti-hallucination  
**Steps:** 7,250 post-training steps on top of the 30,000-step pretrain  

## What changed in post-training?

| Domain | Improvement |
|---|---|
| **AI Analysis** | Grading, rating, error-finding, comparison with structured rubrics |
| **Mathematics** | Step-by-step `<thinking>` chains for algebra, trig, and calculus |
| **Hallucinations** | Explicit uncertainty training — model says "I don't know" rather than inventing |
| **Alignment** | Hermes `<|im_start|>/<|im_end|>` format with internal monologue |

## Prompt format (Hermes)

```
<|im_start|>system
You are HyperNix.2 ...<|im_end|>
<|im_start|>user
Your question here<|im_end|>
<|im_start|>assistant
<thinking>
Internal reasoning chain...
</thinking>
Final answer here<|im_end|>
```

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

tokenizer = AutoTokenizer.from_pretrained("ray0rf1re/hyper-Nix.2")
model     = AutoModelForCausalLM.from_pretrained("ray0rf1re/hyper-Nix.2", torch_dtype=torch.float16)

system = "You are HyperNix.2, an AI specialised in evaluation, mathematics, and honest reasoning."
user   = "Solve: ∫ x·eˣ dx"

prompt = (
    f"<|im_start|>system\n{system}<|im_end|>\n"
    f"<|im_start|>user\n{user}<|im_end|>\n"
    f"<|im_start|>assistant\n"
)
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
with torch.no_grad():
    out = model.generate(**inputs, max_new_tokens=300, temperature=0.4, do_sample=True)
print(tokenizer.decode(out[0], skip_special_tokens=False))
```