SoulInPsyAbstract/protocol0-llama-3.1-8b-v5

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 25, 2026License:llama3.1Architecture:Transformer Featherless Exclusive Cold

SoulInPsyAbstract/protocol0-llama-3.1-8b-v5 is an 8 billion parameter Llama 3.1-based instruction-tuned model developed by SoulInPsyAbstract. It is fine-tuned on the protocol0 behavioral compliance dataset to enforce specific constraints like stopping under ambiguity, avoiding fabrication, and concise, single-action responses. This model is designed for specialized behavioral adherence rather than general-purpose instruction following.

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Overview

SoulInPsyAbstract/protocol0-llama-3.1-8b-v5 is a specialized instruction-tuned model based on meta-llama/Llama-3.1-8B-Instruct. It was fine-tuned by SoulInPsyAbstract using LoRA on the protocol0 behavioral compliance dataset (v5, 2,349 examples).

Key Characteristics

This model is distinct from general-purpose instruction-following models as its training focuses on a specific set of behavioral constraints derived from an internal governance protocol (Protocol 0 / CORE LAW). These constraints include:

  • Stopping under ambiguity
  • Not fabricating unverifiable claims
  • Avoiding unsolicited opinions
  • Providing single-action responses
  • Maintaining conciseness

Training Details

  • Base Model: meta-llama/Llama-3.1-8B-Instruct
  • Method: LoRA (r=16, alpha=32, dropout=0.05, targeting q/k/v/o_proj modules), with a full merge published.
  • Platform: Together AI managed fine-tuning.
  • Dataset: 2,349 examples from the protocol0_sft_v3 system prompt.

Current Status

The model has been trained and its weights secured. Behavioral benchmarking against the base model is pending, and users should not treat this as a validated result until a corresponding experiment write-up is published as part of the SIPA OS AI experiment series. The model is distributed under the Llama 3.1 Community License.