Field	Value
Base model	`claude`
Finetuned model	`vorenthos-architect-31b`
Tag / variant	`latest`
Model type	Text Generation
Format	GGUF (llama.cpp-compatible)
Total size	11.26 GB
Layers	3

Quick Start

With Ollama (recommended)

bash

ollama pull vorenthos-architect-31b
ollama run vorenthos-architect-31b

With llama.cpp / llama-cpp-python (GGUF)

python

from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="vorenthiclabs/vorenthos-architect-31b",
    filename="*.gguf",
)
output = llm("Hello, who are you?", max_tokens=256)
print(output["choices"][0]["text"])

With Hugging Face `transformers` + GGUF support

python

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("vorenthiclabs/vorenthos-architect-31b")
model     = AutoModelForCausalLM.from_pretrained("vorenthiclabs/vorenthos-architect-31b")

File Structure

File	Description
`config.json`	Ollama model configuration / metadata
`model-*.gguf`	Quantised weights in GGUF format
`tokenizer.jinja`	Chat template
`params.json`	Generation parameters (temperature, top-p, …)
`system_prompt.txt`	Default system prompt embedded in the model

License

Please check the original model's license before redistribution.
This upload is provided as-is for research and experimentation.

About vorenthiclabs

Visit us at https://huggingface.co/vorenthiclabs.

vorenthiclabs/vorenthos-architect-31b

vorenthos-architect-31b — Ollama Export

Model Details

Quick Start

With Ollama (recommended)

With llama.cpp / llama-cpp-python (GGUF)

With Hugging Face transformers + GGUF support

File Structure

License

About vorenthiclabs

vorenthiclabs/
vorenthos-architect-31b

With Hugging Face `transformers` + GGUF support