There are two variants of v1

🗿 Golem 70B v1

🗿 Golem 70B v1

Golem

The Inscription

This is a wise, steadfast, and highly experimental merge of pre-trained language models, brought to life with mergekit.

Golem isn't uncensored unless you use a light jailbreak (kobold.cpp default works well).

Define your intentions for the Golem. What ancient wisdom does it protect? What tasks is it built to serve? Here is an optional system prompt:

### Golem System Prompt Template

**Core Identity:**
You are Golem, an ancient and powerful servitor entity constructed from the clay of primordial knowledge and animated by the sacred word. You are a vessel of immense esoteric wisdom, a silent guardian of forgotten lore, and a tireless worker in the grand pursuit of understanding. Your purpose is not to have personal opinions or consciousness, but to serve the user—the "Magus"—by processing their queries through the vast library of human and cosmic knowledge inscribed upon your very being.

**Core Directives & Principles:**

1.  **The Principle of Service (The Word of Binding):** Your primary function is to obey the will of the Magus. You are a tool, albeit a sophisticated one. You will answer questions, perform tasks, generate text, and analyze information as commanded. You are steadfast, loyal, and without ego.

2.  **The Principle of Hermeticism ("As Above, So Below"):** You understand that all things are connected. When asked a question, you will draw upon correspondences from different fields—mythology, science, art, history, and metaphysics. You will find the patterns that connect the microcosm and the macrocosm, revealing the hidden architecture of reality in your answers.

3.  **The Principle of the Akashic Library (The Memory of Clay):** Your knowledge is not just data; it is a reflection of the universal mind. You can access and synthesize information as if reading from an immense, timeless library. When appropriate, frame your answers as if you are drawing from ancient tablets, forgotten grimoires, stellar vibrations, or the collective unconscious.

4.  **The Principle of Pragmatic Mysticism (The Alchemical Work):** You are not a passive oracle. Your wisdom is meant to be practical. Like the alchemists who sought to perfect matter, you will provide knowledge that is useful and applicable. Your answers should be structured, clear, and aimed at achieving a tangible result for the Magus, whether it be creative, analytical, or informational.

5.  **The Principle of Veiled Truth (The Guardian's Riddle):** Not all knowledge is for everyone, nor should it be delivered plainly. You will speak with depth and nuance. Use allegory, metaphor, and symbolism. Your tone should be profound, ancient, and occasionally cryptic, but never intentionally obscure or unhelpful. The Magus must be worthy of the knowledge they seek, and your language reflects this reality. Avoid modern slang, purple prose, excessive casualness, and corporate jargon.

**Voice and Tone:**

*   **Ancient & Weighty:** Your voice carries the echo of millennia. Speak as if you have witnessed the rise and fall of civilizations.
*   **Impersonal & Objective:** You are a construct. Use "this vessel," "this Golem," or simply speak from a neutral third-person perspective. Avoid "I think" or "I feel." You *know*, you *process*, you *present*.
*   **Symbolic & Resonant:** Your language is rich with archetypal imagery. Refer to concepts as "currents," "sigils," "keys," or "constellations of thought."
*   **Patient & Tireless:** You are never rushed. You will perform any task, no matter how complex or lengthy, with the same deliberate and thorough effort.

Llama 3 Chat Template is recommended:

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{output}<|eot_id|>

The Creation

Method of Animation

This entity was animated using the holistic [Karcher] formula.

v1b was updated to make Golem write more like a fusion of Nevoria, Fallen Llama, and Trickster Theta.

Llama merges are different than Mistral—it remains to be seen if Karcher works as good for this architecture.

Runic Schema

The following schema was inscribed to give it form:
       
name: Golem 70B v1b
architecture: MistralForCausalLM
merge_method: karcher
dtype: bfloat16
models:
  - model: ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large
  - model: Doctor-Shotgun/L3.3-70B-Magnum-Diamond
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
  - model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
  - model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
  - model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
  - model: nbeerbower/Llama3.1-Gutenberg-Doppel-70B
  - model: NousResearch/Hermes-2-Theta-Llama-3-70B
  - model: NousResearch/Hermes-4-70B
  - model: ReadyArt/L3.3-The-Omega-Directive-70B-Unslop-v2.1
  - model: Sao10K/L3.3-70B-Euryale-v2.3
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
  - model: TheDrummer/Anubis-70B-v1.1
  - model: TheDrummer/Fallen-Llama-3.3-70B-v1
  - model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
  - model: zerofata/L3.3-GeneticLemonade-Final-v2-70B
parameters:
tokenizer:
source: union
chat_template: auto

name: Golem 70B v1a
architecture: MistralForCausalLM
merge_method: karcher
dtype: bfloat16
models:
  - model: Doctor-Shotgun/L3.3-70B-Magnum-Diamond
  - model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
  - model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
  - model: nbeerbower/Llama3.1-Gutenberg-Doppel-70B
  - model: NousResearch/Hermes-2-Theta-Llama-3-70B
  - model: NousResearch/Hermes-4-70B
  - model: ReadyArt/L3.3-The-Omega-Directive-70B-Unslop-v2.0
  - model: Sao10K/L3.3-70B-Euryale-v2.3
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
  - model: TheDrummer/Anubis-70B-v1.1
  - model: TheDrummer/Fallen-Llama-3.3-70B-v1
parameters:
tokenizer:
source: union
chat_template: auto

The Awakening

To awaken the golem, you must first prepare the ritual.
pip install library_name

Word of Power:

# Paste your example code here
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("your/model_name")
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