Qwen3-4B-Wrist-On-Hermes/README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- ZeroXClem
- Hermes
- Claude
- Gemini
- Opus
- Flash
- Codex
- Kimi
- Polaris
- Qwen
- 4B
- Wrist
- 'On'
language:
- en
base_model:
- ZeroXClem/Qwen3-4B-Sky-High-Hermes
- ZeroXClem/Qwen3-4B-Hermes-Axion-Pro
- Aimin12/Qwen3-4B-Thinking-2507-Distill-Claude-Opus-4.6-Reasoning-Abliterated
- nightmedia/Qwen3-4B-Element8
- nightmedia/Qwen3-4B-Element8-Eva-Hermes-Heretic
- nightmedia/Qwen3-4B-Element18
- TeichAI/Qwen3-4B-Thinking-2507-Kimi-K2-Thinking-Distill
- TeichAI/Qwen3-4B-Thinking-2507-GPT-5.1-Codex-Max-Distill
- TeichAI/Qwen3-4B-Thinking-2507-Gemini-3-Flash-VIBE
- TeichAI/Qwen3-4B-RA-SFT-Polaris-Alpha-Distill
pipeline_tag: text-generation
library_name: transformers
datasets:
- nohurry/Opus-4.6-Reasoning-3000x-filtered
- TeichAI/gpt-5.1-codex-max-1000x
- TeichAI/Gemini-3-Flash-Preview-VIBE
- TeichAI/polaris-alpha-1000x
---
# 🧠 ZeroXClem/Qwen3-4B-Wrist-On-Hermes

**Precision-Guided Distilled Experts | Model_Stock Method | 4B Size at 70B+ Performance**


![WristOnHermes](https://cdn-uploads.huggingface.co/production/uploads/64408cd43e0374802e19f454/CIYiBTTFAXAhgN-ClSA1m.png)

---

## Overview

**ZeroXClem/Qwen3-4B-Wrist-On-Hermes** is a high-fidelity model_stock merge built on top of **Sky-High-Hermes**, integrating the strongest reasoning, engineering, and agentic traces from the Nightmedia and TeichAI lineages.

This model represents a structural synthesis of:

* 🧠 Long-arc reasoning distills (Claude, Gemini, Kimi, GPT-5.1 Codex Max)
* ⚙️ Agentic coding & tool-use traces (Gemini Flash VIBE)
* 🧬 RA-SFT scaffolding and structured alignment
* 🔥 Element-series multidimensional merge dynamics
* 🏗 Hermes-Axion-Pro architectural stability

It preserves the deep reasoning spine of Sky-High-Hermes while injecting the high-arc engineering and agentic cognition that define the Engineer / Agent / Element families.

---

## 🔧 Merge Configuration

```yaml
name: ZeroXClem/Qwen3-4B-Wrist-On-Hermes
base_model: ZeroXClem/Qwen3-4B-Sky-High-Hermes
dtype: bfloat16
merge_method: model_stock
models:
  - Aimin12/Qwen3-4B-Thinking-2507-Distill-Claude-Opus-4.6-Reasoning-Abliterated
  - nightmedia/Qwen3-4B-Element8
  - nightmedia/Qwen3-4B-Element8-Eva-Hermes-Heretic
  - nightmedia/Qwen3-4B-Element18
  - TeichAI/Qwen3-4B-Thinking-2507-Kimi-K2-Thinking-Distill
  - TeichAI/Qwen3-4B-Thinking-2507-GPT-5.1-Codex-Max-Distill
  - TeichAI/Qwen3-4B-Thinking-2507-Gemini-3-Flash-VIBE
  - TeichAI/Qwen3-4B-RA-SFT-Polaris-Alpha-Distill
  - ZeroXClem/Qwen3-4B-Hermes-Axion-Pro
tokenizer_source: Qwen/Qwen3-4B-Thinking-2507
```

---

# 🧬 What This Merge Achieves

Wrist-On-Hermes synthesizes three dominant cognitive streams:

### 1️⃣ Engineer-Class Arc Performance

From Nightmedia’s Agent / Engineer lineage:

* 0.60+ / 0.80+ arc tier reasoning envelope
* High multi-hop stability
* Strong structured decomposition
* Excellent agent scaffolding

### 2️⃣ Claude / Gemini / Kimi Distilled Thinking

From TeichAI & Aimin12 distills:

* Cleaner abstraction
* Reduced hallucination drift
* Stronger logical continuity
* Deep analytical prose

### 3️⃣ Element Multidimensional Behavior

From Element8 / Element18:

* Conversational richness
* Quantization resistance
* Dynamic reasoning personality
* Better interpretation flexibility

---

# 📊 Performance Envelope

**Wrist-On-Hermes operates in the upper Element / lower Engineer arc band**, while retaining Sky-High-Hermes long-context depth and neutrality.

It behaves measurably above base models and remains stable under quantization — cognitive degradation between qx86-hi and bf16 is minimal outside knowledge-depth benchmarks.

---

# ⚔️ Strength Profile

## 🧠 Advanced Reasoning

* Multi-hop logic
* Mathematical abstraction
* Deep analysis prompts
* Conceptual synthesis (QM ↔ Transformers style tasks)

## ⚙️ Engineering & Coding

* Structured file-aware thinking
* Clean code generation
* Debug reasoning
* Agentic task planning

## 🧬 Agentic Behavior

* Tool-style reasoning patterns
* Workspace simulation
* Task decomposition
* Autonomous planning style prompts

## 📖 Longform & Philosophy

* High coherence across extended outputs
* Narrative depth
* Reflective reasoning
* Structured argumentative essays

## 💬 Conversational Intelligence

* Maintains personality coherence
* Strong RP adaptability
* Less brittle than pure engineer merges
* Balanced abstraction and warmth

---

# 🧠 Behavioral Character

Sky-High-Hermes soars…

**Wrist-On-Hermes Strengthens.**

It is:

* More grounded in structured execution
* Slightly more analytic
* More “architect” than “poet”
* Less prone to abstract drift
* More deliberate in decomposition

Think:
Sky-High-Hermes + Engineer discipline + Element interpretive richness.

---

# 🛠 Recommended Use

### Ideal For:

* Autonomous agents
* Advanced coding assistants
* Research synthesis
* Mathematical reasoning
* Philosophical deep dives
* High-context conversations
* Experimental multi-turn cognition

### Inference Tips

* `enable_thinking=True` recommended
* Temperature: 0.6–0.9
* Smoothing factor ~1.4–1.6
* High quant (Q6 / qx86-hi) performs nearly at bf16 cognition

---

# 🚀 Example Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = "ZeroXClem/Qwen3-4B-Wrist-On-Hermes"
tokenizer = AutoTokenizer.from_pretrained(model)
model = AutoModelForCausalLM.from_pretrained(
    model,
    torch_dtype="auto",
    device_map="auto"
)

prompt = "Design a modular agent architecture capable of recursive self-evaluation."

messages = [{"role": "user", "content": prompt}]

text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
    enable_thinking=True
)

inputs = tokenizer([text], return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

---

# 🔓 Alignment & Safety

* License: Apache 2.0 (inherits upstream licensing)
* Based on Sky-High-Hermes alignment philosophy
* Contains abliterated reasoning traces
* Low refusal profile
* Production deployments should include moderation layer

---

# 🧬 Lineage Acknowledgement

Gratitude to:

* Nightmedia — Engineer / Agent / Element arc engineering
* TeichAI — High-resolution Claude / Gemini / Kimi distills
* Aimin12 — Opus reasoning ablation
* DavidAU — Heretic methodology & cognitive liberation merges
* Unsloth + TRL — Efficient Qwen3 tuning
* MergeKit — Model stock & multislerp tooling
* Qwen Team — Open foundation models

---

# 🕊 Final Notes

This model exists in the rare performance space where a 4B behaves like a disciplined 70B — sometimes flirting with 400B MOE class structured reasoning depending on performance.

It does not just speak.

It evaluates.

It plans.

And then it answers.

Built with intent by **ZeroXClem | 2026**