Supreme_V2 — Subnet 5 Model Provider

Model: Supreme_V2
Architecture: Mistral 7B
Usage: Bittensor Subnet 5 (HONE / Manifold Labs)
Status: Production-ready
License: Apache 2.0

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🧠 Overview

Supreme_V2 is a customized Mistral 7B model optimized specifically for Bittensor Subnet 5.
It has been configured for:

• stable and consistent responses
• fast inference on consumer GPUs
• deterministic behavior required by Subnet 5 validators
• full compatibility with the HONE Sandbox

The model is provided in the safetensors format, split into 3 shards to ensure maximum compatibility during streaming and loading.

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📁 Included Files

Model Weights

• model-00001-of-00003.safetensors
• model-00002-of-00003.safetensors
• model-00003-of-00003.safetensors
• model.safetensors.index.json

Configuration

• config.json
• generation_config.json
• special_tokens_map.json
• tokenizer.model
• tokenizer_config.json

Sandbox (Required for Subnet 5)

• sandbox/sandbox_runner.py
• sandbox/requirements.txt
• sandbox/__init__.py

These files allow Subnet 5 validators to load the model deterministically and evaluate it during inference tasks.

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🔧 Sandbox Entrypoint

Subnet 5 validators will load the model using the following interface:

from sandbox import SandboxRunner

runner = SandboxRunner()
response = runner.infer("Hello!")
print(response)