About
Derivative of GPT-OSS-120B by OpenAI.
Ghost-passed with 1e-6 noise to produce mathematically unique weights.
See integrity_manifest.json for SHA256 proof.
Technical Details
- Architecture: GPT-OSS (120B total, 5.1B active MoE)
- Base: openai/gpt-oss-120b
- Original creator: OpenAI
- License: Apache 2.0 (derivative work)
- Method: Ghost pass (1e-6 bfloat16 noise)
Quick Start
GGUF (llama.cpp / LM Studio)
Download a GGUF file and run with llama-server or LM Studio.
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("ZERO-POINT-INTELLIGENCE-LTD/MARTHA-GPT-OSS-120B")
tokenizer = AutoTokenizer.from_pretrained("ZERO-POINT-INTELLIGENCE-LTD/MARTHA-GPT-OSS-120B")
Files
Table with columns: File, Description| File | Description |
|---|
| model-*.safetensors | Full model weights (13 shards) |
| *.gguf | Quantized GGUF files for local inference |
| integrity_manifest.json | SHA256 proof of unique weights |
License
Apache 2.0 derivative work. Original model by OpenAI.
Copyright 2026 Zero Point Intelligence Ltd.
https://zeropointai.uk