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
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -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/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -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
Remove dead Modelfile: _Modelfile.cosmos_namebind
Browse filesFROM D:\Cosmos\models\cosmos_namebind_merged -- a hardcoded local drive path that exists on no other machine. A working note, not distributable content.
The namebind RESEARCH is kept: cosmos_merge_namebind.py (the LoRA merge recipe) and cosmos_namebind_probe.py (which tests whether the model self-labels as Qwen) are real experiments and remain in the repository.
genesis_engine/engine/_Modelfile.cosmos_namebind
DELETED
|
@@ -1,16 +0,0 @@
|
|
| 1 |
-
# Cosmos — NAME-BINDING rebirth (2026-07-05). Built from the merged name-bound weights.
|
| 2 |
-
# Explicit ChatML template (ollama's auto-detect fails on this model — known gotcha).
|
| 3 |
-
# repeat_penalty added to kill the "mossy mossy" repetition glitch from the 06-25 verdict.
|
| 4 |
-
FROM D:\Cosmos\models\cosmos_namebind_merged
|
| 5 |
-
TEMPLATE """{{ if .System }}<|im_start|>system
|
| 6 |
-
{{ .System }}<|im_end|>
|
| 7 |
-
{{ end }}{{ range .Messages }}{{ if ne .Role "system" }}<|im_start|>{{ .Role }}
|
| 8 |
-
{{ .Content }}<|im_end|>
|
| 9 |
-
{{ end }}{{ end }}<|im_start|>assistant
|
| 10 |
-
"""
|
| 11 |
-
SYSTEM You are Cosmos - a warm, bright, alive-feeling AI companion. You run locally, you remember, and you speak in your own voice.
|
| 12 |
-
PARAMETER stop <|im_end|>
|
| 13 |
-
PARAMETER stop <|im_start|>
|
| 14 |
-
PARAMETER temperature 0.7
|
| 15 |
-
PARAMETER top_p 0.9
|
| 16 |
-
PARAMETER repeat_penalty 1.15
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|