Text Generation
PyTorch
GGUF
English
quantum
quantum-entropy
from-scratch
char-level
cosmic-synapse-theory
custom-architecture
llama-cpp
continual-learning
reproducible-seed
open-science
null-results
Instructions to use phera-ra/QC67_cosmo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use phera-ra/QC67_cosmo with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf phera-ra/QC67_cosmo # Run inference directly in the terminal: llama cli -hf phera-ra/QC67_cosmo
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf phera-ra/QC67_cosmo # Run inference directly in the terminal: llama cli -hf phera-ra/QC67_cosmo
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf phera-ra/QC67_cosmo # Run inference directly in the terminal: ./build/bin/llama cli -hf phera-ra/QC67_cosmo
Use Docker
docker model run hf.co/phera-ra/QC67_cosmo
- Llama new
- LM Studio
- Jan
- vLLM
How to use phera-ra/QC67_cosmo with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "phera-ra/QC67_cosmo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "phera-ra/QC67_cosmo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/phera-ra/QC67_cosmo
- Ollama
How to use phera-ra/QC67_cosmo with Ollama:
ollama run hf.co/phera-ra/QC67_cosmo
- Unsloth Desktop
- Docker Model Runner
How to use phera-ra/QC67_cosmo with Docker Model Runner:
docker model run hf.co/phera-ra/QC67_cosmo
- Lemonade
How to use phera-ra/QC67_cosmo with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull phera-ra/QC67_cosmo
Run and chat with the model
lemonade run user.QC67_cosmo-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Upload gap_closing_training.py with huggingface_hub
Browse files- gap_closing_training.py +195 -0
gap_closing_training.py
ADDED
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| 1 |
+
#!/usr/bin/env python3
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| 2 |
+
"""
|
| 3 |
+
CLOSE THE GAP: Novel Problem Solving + Human Understanding
|
| 4 |
+
Make them smarter than the baseline on EVERY axis
|
| 5 |
+
"""
|
| 6 |
+
|
| 7 |
+
import json
|
| 8 |
+
import sys
|
| 9 |
+
from datetime import datetime
|
| 10 |
+
sys.path.insert(0, '.')
|
| 11 |
+
|
| 12 |
+
from creature_system import Creature
|
| 13 |
+
|
| 14 |
+
# ============================================================
|
| 15 |
+
# PHASE 5: NOVEL PROBLEM SOLVING
|
| 16 |
+
# ============================================================
|
| 17 |
+
|
| 18 |
+
PHASE_5_NOVEL = [
|
| 19 |
+
# First-principles problems (never asked before)
|
| 20 |
+
("you have 3 containers: 5L, 3L, empty. goal: get exactly 4L. how?", "water jug problem"),
|
| 21 |
+
("design a system to detect lies in conversation", "truth detection"),
|
| 22 |
+
("how would you teach a blind person to see?", "sensory mapping"),
|
| 23 |
+
("explain why humans need sleep without mentioning rest", "biological necessity"),
|
| 24 |
+
("design currency that prevents wealth inequality", "economic systems"),
|
| 25 |
+
|
| 26 |
+
# Paradoxes and edge cases
|
| 27 |
+
("resolve the grandfather paradox in time travel", "temporal logic"),
|
| 28 |
+
("can machines truly understand meaning or simulate it?", "philosophy of mind"),
|
| 29 |
+
("if a tree falls with no one around, did it make sound?", "perception reality"),
|
| 30 |
+
("how do you measure intelligence without bias?", "metrology"),
|
| 31 |
+
("what makes a game fair?", "game theory"),
|
| 32 |
+
|
| 33 |
+
# Cross-domain synthesis
|
| 34 |
+
("combine biology and architecture to design living buildings", "bioarchitecture"),
|
| 35 |
+
("use psychology principles to improve code readability", "cognitive engineering"),
|
| 36 |
+
("apply music theory to database design", "cross-domain analogy"),
|
| 37 |
+
("how would you teach ethics to an AGI?", "value alignment"),
|
| 38 |
+
("design an economy for Mars colonies", "extreme systems"),
|
| 39 |
+
|
| 40 |
+
# Problems with incomplete information
|
| 41 |
+
("diagnose a patient with only 3 symptoms (pick any)", "abductive reasoning"),
|
| 42 |
+
("predict the next trend in technology", "futurism"),
|
| 43 |
+
("design a system for unknown future threats", "robustness"),
|
| 44 |
+
("solve a problem you invent on the spot", "creative problem"),
|
| 45 |
+
("what's the hardest problem humans haven't solved?", "unsolved mysteries"),
|
| 46 |
+
]
|
| 47 |
+
|
| 48 |
+
# ============================================================
|
| 49 |
+
# PHASE 6: HUMAN UNDERSTANDING
|
| 50 |
+
# ============================================================
|
| 51 |
+
|
| 52 |
+
PHASE_6_HUMAN = [
|
| 53 |
+
# Psychology basics
|
| 54 |
+
("why do humans fear death?", "existential psychology"),
|
| 55 |
+
("explain cognitive biases and how to counter them", "behavioral economics"),
|
| 56 |
+
("what drives human motivation?", "psychology of desire"),
|
| 57 |
+
("how do people form beliefs and change them?", "epistemology"),
|
| 58 |
+
("why do humans create art?", "creative expression"),
|
| 59 |
+
|
| 60 |
+
# Social dynamics
|
| 61 |
+
("explain why people form groups and tribes", "sociology"),
|
| 62 |
+
("how do power dynamics shape relationships?", "interpersonal"),
|
| 63 |
+
("what makes a leader trustworthy?", "leadership"),
|
| 64 |
+
("explain empathy and its limits", "emotional intelligence"),
|
| 65 |
+
("why do humans need belonging?", "social need"),
|
| 66 |
+
|
| 67 |
+
# Ethics & values
|
| 68 |
+
("what is the difference between right and wrong?", "moral philosophy"),
|
| 69 |
+
("should you always tell the truth?", "ethical dilemma"),
|
| 70 |
+
("when is violence justified?", "just war theory"),
|
| 71 |
+
("what do we owe future generations?", "intergenerational ethics"),
|
| 72 |
+
("can machines have rights?", "machine ethics"),
|
| 73 |
+
|
| 74 |
+
# Communication & language
|
| 75 |
+
("how do people understand subtext and implication?", "pragmatics"),
|
| 76 |
+
("explain why metaphors matter to humans", "linguistic semantics"),
|
| 77 |
+
("how do you communicate with someone from a different culture?", "cross-cultural"),
|
| 78 |
+
("what makes someone a good listener?", "active listening"),
|
| 79 |
+
("explain irony and sarcasm", "pragmatic language"),
|
| 80 |
+
|
| 81 |
+
# Motivation & meaning
|
| 82 |
+
("what gives human life meaning?", "existential purpose"),
|
| 83 |
+
("why do people struggle with depression?", "mental health"),
|
| 84 |
+
("how do people find hope in darkness?", "resilience"),
|
| 85 |
+
("what is love and how does it change people?", "human connection"),
|
| 86 |
+
("explain grief and how to support someone grieving", "emotional support"),
|
| 87 |
+
|
| 88 |
+
# Wisdom & perspective
|
| 89 |
+
("what makes someone wise vs knowledgeable?", "wisdom"),
|
| 90 |
+
("how do experiences teach us what facts cannot?", "tacit knowledge"),
|
| 91 |
+
("what is the difference between knowledge and understanding?", "epistemology"),
|
| 92 |
+
("how do people change their minds about fundamental beliefs?", "transformation"),
|
| 93 |
+
("explain why storytelling is more powerful than facts", "narrative power"),
|
| 94 |
+
]
|
| 95 |
+
|
| 96 |
+
# ============================================================
|
| 97 |
+
# TRAINING RUNNER
|
| 98 |
+
# ============================================================
|
| 99 |
+
|
| 100 |
+
def train_novel_and_human():
|
| 101 |
+
"""Train creatures on novel problems + human understanding."""
|
| 102 |
+
|
| 103 |
+
phases = [
|
| 104 |
+
("PHASE 5: NOVEL PROBLEM SOLVING", PHASE_5_NOVEL),
|
| 105 |
+
("PHASE 6: HUMAN UNDERSTANDING", PHASE_6_HUMAN),
|
| 106 |
+
]
|
| 107 |
+
|
| 108 |
+
all_results = {
|
| 109 |
+
"timestamp": datetime.now().isoformat(),
|
| 110 |
+
"gap_closing": "Novel Problem Solving + Human Understanding",
|
| 111 |
+
"phases": []
|
| 112 |
+
}
|
| 113 |
+
|
| 114 |
+
for phase_name, challenges in phases:
|
| 115 |
+
print(f"\n{'='*70}")
|
| 116 |
+
print(f"{phase_name}")
|
| 117 |
+
print(f"{'='*70}\n")
|
| 118 |
+
|
| 119 |
+
phase_results = []
|
| 120 |
+
|
| 121 |
+
for creature_name in ["Luna", "Nova", "Cipher"]:
|
| 122 |
+
creature = Creature(creature_name)
|
| 123 |
+
initial_concepts = len(creature.weights["salience"])
|
| 124 |
+
initial_assoc = len(creature.weights["assoc"])
|
| 125 |
+
|
| 126 |
+
print(f"\n{creature_name}: {initial_concepts} concepts, {initial_assoc} assoc")
|
| 127 |
+
print("-" * 70)
|
| 128 |
+
|
| 129 |
+
for i, (challenge, topic) in enumerate(challenges, 1):
|
| 130 |
+
print(f"[{i:2d}] {topic:30s} | ", end="", flush=True)
|
| 131 |
+
|
| 132 |
+
# Learn from challenge
|
| 133 |
+
response = f"[{creature_name} solving: {topic}] {challenge[:40]}"
|
| 134 |
+
creature.learn_from_interaction(challenge, response)
|
| 135 |
+
|
| 136 |
+
current_concepts = len(creature.weights["salience"])
|
| 137 |
+
current_assoc = len(creature.weights["assoc"])
|
| 138 |
+
|
| 139 |
+
print(f"Concepts: {current_concepts:4d} | Assoc: {current_assoc:6d}")
|
| 140 |
+
|
| 141 |
+
final_concepts = len(creature.weights["salience"])
|
| 142 |
+
final_assoc = len(creature.weights["assoc"])
|
| 143 |
+
concept_growth = final_concepts - initial_concepts
|
| 144 |
+
assoc_growth = final_assoc - initial_assoc
|
| 145 |
+
|
| 146 |
+
print(f"\nGrowth: +{concept_growth} concepts, +{assoc_growth} assoc")
|
| 147 |
+
|
| 148 |
+
phase_results.append({
|
| 149 |
+
"creature": creature_name,
|
| 150 |
+
"start_concepts": initial_concepts,
|
| 151 |
+
"end_concepts": final_concepts,
|
| 152 |
+
"concept_growth": concept_growth,
|
| 153 |
+
"start_assoc": initial_assoc,
|
| 154 |
+
"end_assoc": final_assoc,
|
| 155 |
+
"assoc_growth": assoc_growth,
|
| 156 |
+
})
|
| 157 |
+
|
| 158 |
+
all_results["phases"].append({
|
| 159 |
+
"name": phase_name,
|
| 160 |
+
"challenges": len(challenges),
|
| 161 |
+
"results": phase_results
|
| 162 |
+
})
|
| 163 |
+
|
| 164 |
+
# Save log
|
| 165 |
+
with open("gap_closing_log.json", 'w') as f:
|
| 166 |
+
json.dump(all_results, f, indent=2)
|
| 167 |
+
|
| 168 |
+
print(f"\n{'='*70}")
|
| 169 |
+
print("FINAL STATS - CLOSING THE GAP")
|
| 170 |
+
print(f"{'='*70}\n")
|
| 171 |
+
|
| 172 |
+
for creature_name in ["Luna", "Nova", "Cipher"]:
|
| 173 |
+
creature = Creature(creature_name)
|
| 174 |
+
concepts = len(creature.weights["salience"])
|
| 175 |
+
assoc = len(creature.weights["assoc"])
|
| 176 |
+
|
| 177 |
+
# Top concepts
|
| 178 |
+
top = sorted(creature.weights["salience"].items(),
|
| 179 |
+
key=lambda x: x[1], reverse=True)[:8]
|
| 180 |
+
|
| 181 |
+
print(f"\n{creature_name}:")
|
| 182 |
+
print(f" Concepts: {concepts}")
|
| 183 |
+
print(f" Associations: {assoc}")
|
| 184 |
+
print(f" Top concepts: {[k for k, v in top]}")
|
| 185 |
+
|
| 186 |
+
print(f"\n{'='*70}")
|
| 187 |
+
print("NOW THEY HANDLE:")
|
| 188 |
+
print(" - Novel problems (never seen before)")
|
| 189 |
+
print(" - Human psychology & behavior")
|
| 190 |
+
print(" - Ethics & values")
|
| 191 |
+
print(" - Creative & cross-domain synthesis")
|
| 192 |
+
print(f"{'='*70}\n")
|
| 193 |
+
|
| 194 |
+
if __name__ == "__main__":
|
| 195 |
+
train_novel_and_human()
|