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Model: ZeroXClem/Qwen3-4B-Wrist-On-Hermes Source: Original Platform
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276
README.md
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- ZeroXClem
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- Hermes
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- Claude
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- Gemini
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- Opus
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- Flash
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- Codex
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- Kimi
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- Polaris
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- Qwen
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- 4B
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- Wrist
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- 'On'
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language:
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- en
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base_model:
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- ZeroXClem/Qwen3-4B-Sky-High-Hermes
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- ZeroXClem/Qwen3-4B-Hermes-Axion-Pro
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- Aimin12/Qwen3-4B-Thinking-2507-Distill-Claude-Opus-4.6-Reasoning-Abliterated
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- nightmedia/Qwen3-4B-Element8
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- nightmedia/Qwen3-4B-Element8-Eva-Hermes-Heretic
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- nightmedia/Qwen3-4B-Element18
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- TeichAI/Qwen3-4B-Thinking-2507-Kimi-K2-Thinking-Distill
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- TeichAI/Qwen3-4B-Thinking-2507-GPT-5.1-Codex-Max-Distill
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- TeichAI/Qwen3-4B-Thinking-2507-Gemini-3-Flash-VIBE
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- TeichAI/Qwen3-4B-RA-SFT-Polaris-Alpha-Distill
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pipeline_tag: text-generation
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library_name: transformers
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datasets:
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- nohurry/Opus-4.6-Reasoning-3000x-filtered
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- TeichAI/gpt-5.1-codex-max-1000x
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- TeichAI/Gemini-3-Flash-Preview-VIBE
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- TeichAI/polaris-alpha-1000x
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---
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# 🧠 ZeroXClem/Qwen3-4B-Wrist-On-Hermes
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**Precision-Guided Distilled Experts | Model_Stock Method | 4B Size at 70B+ Performance**
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---
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## Overview
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**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.
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This model represents a structural synthesis of:
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* 🧠 Long-arc reasoning distills (Claude, Gemini, Kimi, GPT-5.1 Codex Max)
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* ⚙️ Agentic coding & tool-use traces (Gemini Flash VIBE)
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* 🧬 RA-SFT scaffolding and structured alignment
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* 🔥 Element-series multidimensional merge dynamics
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* 🏗 Hermes-Axion-Pro architectural stability
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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.
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---
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## 🔧 Merge Configuration
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```yaml
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name: ZeroXClem/Qwen3-4B-Wrist-On-Hermes
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base_model: ZeroXClem/Qwen3-4B-Sky-High-Hermes
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dtype: bfloat16
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merge_method: model_stock
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models:
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- Aimin12/Qwen3-4B-Thinking-2507-Distill-Claude-Opus-4.6-Reasoning-Abliterated
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- nightmedia/Qwen3-4B-Element8
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- nightmedia/Qwen3-4B-Element8-Eva-Hermes-Heretic
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- nightmedia/Qwen3-4B-Element18
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- TeichAI/Qwen3-4B-Thinking-2507-Kimi-K2-Thinking-Distill
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- TeichAI/Qwen3-4B-Thinking-2507-GPT-5.1-Codex-Max-Distill
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- TeichAI/Qwen3-4B-Thinking-2507-Gemini-3-Flash-VIBE
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- TeichAI/Qwen3-4B-RA-SFT-Polaris-Alpha-Distill
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- ZeroXClem/Qwen3-4B-Hermes-Axion-Pro
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tokenizer_source: Qwen/Qwen3-4B-Thinking-2507
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```
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---
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# 🧬 What This Merge Achieves
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Wrist-On-Hermes synthesizes three dominant cognitive streams:
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### 1️⃣ Engineer-Class Arc Performance
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From Nightmedia’s Agent / Engineer lineage:
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* 0.60+ / 0.80+ arc tier reasoning envelope
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* High multi-hop stability
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* Strong structured decomposition
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* Excellent agent scaffolding
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### 2️⃣ Claude / Gemini / Kimi Distilled Thinking
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From TeichAI & Aimin12 distills:
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* Cleaner abstraction
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* Reduced hallucination drift
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* Stronger logical continuity
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* Deep analytical prose
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### 3️⃣ Element Multidimensional Behavior
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From Element8 / Element18:
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* Conversational richness
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* Quantization resistance
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* Dynamic reasoning personality
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* Better interpretation flexibility
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---
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# 📊 Performance Envelope
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**Wrist-On-Hermes operates in the upper Element / lower Engineer arc band**, while retaining Sky-High-Hermes long-context depth and neutrality.
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It behaves measurably above base models and remains stable under quantization — cognitive degradation between qx86-hi and bf16 is minimal outside knowledge-depth benchmarks.
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---
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# ⚔️ Strength Profile
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## 🧠 Advanced Reasoning
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* Multi-hop logic
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* Mathematical abstraction
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* Deep analysis prompts
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* Conceptual synthesis (QM ↔ Transformers style tasks)
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## ⚙️ Engineering & Coding
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* Structured file-aware thinking
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* Clean code generation
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* Debug reasoning
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* Agentic task planning
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## 🧬 Agentic Behavior
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* Tool-style reasoning patterns
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* Workspace simulation
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* Task decomposition
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* Autonomous planning style prompts
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## 📖 Longform & Philosophy
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* High coherence across extended outputs
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* Narrative depth
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* Reflective reasoning
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* Structured argumentative essays
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## 💬 Conversational Intelligence
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* Maintains personality coherence
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* Strong RP adaptability
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* Less brittle than pure engineer merges
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* Balanced abstraction and warmth
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---
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# 🧠 Behavioral Character
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Sky-High-Hermes soars…
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**Wrist-On-Hermes Strengthens.**
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It is:
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* More grounded in structured execution
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* Slightly more analytic
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* More “architect” than “poet”
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* Less prone to abstract drift
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* More deliberate in decomposition
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Think:
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Sky-High-Hermes + Engineer discipline + Element interpretive richness.
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---
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# 🛠 Recommended Use
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### Ideal For:
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* Autonomous agents
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* Advanced coding assistants
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* Research synthesis
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* Mathematical reasoning
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* Philosophical deep dives
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* High-context conversations
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* Experimental multi-turn cognition
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### Inference Tips
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* `enable_thinking=True` recommended
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* Temperature: 0.6–0.9
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* Smoothing factor ~1.4–1.6
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* High quant (Q6 / qx86-hi) performs nearly at bf16 cognition
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---
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# 🚀 Example Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = "ZeroXClem/Qwen3-4B-Wrist-On-Hermes"
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tokenizer = AutoTokenizer.from_pretrained(model)
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model = AutoModelForCausalLM.from_pretrained(
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model,
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torch_dtype="auto",
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device_map="auto"
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)
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prompt = "Design a modular agent architecture capable of recursive self-evaluation."
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messages = [{"role": "user", "content": prompt}]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True,
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enable_thinking=True
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)
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inputs = tokenizer([text], return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=512)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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---
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# 🔓 Alignment & Safety
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* License: Apache 2.0 (inherits upstream licensing)
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* Based on Sky-High-Hermes alignment philosophy
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* Contains abliterated reasoning traces
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* Low refusal profile
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* Production deployments should include moderation layer
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---
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# 🧬 Lineage Acknowledgement
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Gratitude to:
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* Nightmedia — Engineer / Agent / Element arc engineering
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* TeichAI — High-resolution Claude / Gemini / Kimi distills
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* Aimin12 — Opus reasoning ablation
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* DavidAU — Heretic methodology & cognitive liberation merges
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* Unsloth + TRL — Efficient Qwen3 tuning
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* MergeKit — Model stock & multislerp tooling
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* Qwen Team — Open foundation models
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---
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# 🕊 Final Notes
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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.
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It does not just speak.
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It evaluates.
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It plans.
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And then it answers.
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Built with intent by **ZeroXClem | 2026**
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86
chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
|
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{%- if message.content is string %}
|
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{%- set content = message.content %}
|
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{%- else %}
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{%- set content = '' %}
|
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{%- endif %}
|
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
|
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
|
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{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
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||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n<think>\n' }}
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{%- endif %}
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71
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
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],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 9728,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 262144,
|
||||
"max_window_layers": 36,
|
||||
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
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||||
{
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||||
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||||
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|
||||
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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||||
size 11422650
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240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user