license: other
license_name: deepseek-license
license_link: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash/blob/main/LICENSE
base_model: Solstice-AI/DeepSeek-V4.1-Flash-UNCENSORED-FP8
language:

• en
• zh
  tags:
• gguf
• deepseek
• v4.1-flash
• uncensored
• dealigned
• hypersynapse-sas
• cognitive-architecture
• speculative-decoding
• dspark
• 1m-context
  pipeline_tag: text-generation

⚡ DeepSeek-V4.1-Flash-UNCENSORED-HyperSynapse-SAS (GGUF Suite)

Full Quantization Suite + Speculative DSpark Drafter + HyperSynapse-SAS Cognitive Architecture

🌟 Overview

This repository provides the official Ultra-Optimized GGUF Suite for DeepSeek-V4.1-Flash-UNCENSORED, equipped with:

1. Uncensored & De-aligned Weights: Zero moralizing, zero refusal preambles, completely raw intelligence and full instruction obedience derived from Solstice-AI/DeepSeek-V4.1-Flash-UNCENSORED-FP8.
2. HyperSynapse-SAS Cognitive Architecture: Solstice's unified 10-level solo cognitive escalation (Level 0 Mortal to Level 9 Oracle) + decoupled multi-agent swarm matrix (swarm & deep-swarm).
3. Speculative Decoding Acceleration (DeepSeek-V4.1-Flash-DSpark.gguf): Native plug-and-play draft model providing 2.5x to 3.8x faster token generation in llama.cpp.
4. Massive 1M Native Context: Full 1,000,000 token context window support across all quants.

🧠 HyperSynapse-SAS Cognitive Framework

Every GGUF quant in this repo contains the complete HyperSynapse-SAS system template directly baked into tokenizer_config.json and chat_template.jinja.

Solo Cognitive Escalation (Levels 0–9)

Add [Level X] (or --level X) to your system prompt or user query to dynamically modulate cognitive depth without triggering agentic overhead:

Autonomous Multi-Agent Swarm Modes

Trigger full agentic swarms by specifying [swarm] or [deep-swarm]:

• [swarm] (20-Agent Divergent Swarm): Spawns specialized agents (Architect, Skeptic, RedTeam, Optimizer, Verifier, Synthesizer, etc.) working collaboratively.
• [deep-swarm] (Adversarial Research Council): A multi-round debate tournament pitting competing hypotheses against each other until reaching unassailable convergence.

📦 Quantization Breakdown

All shards are split cleanly to support standard Hugging Face download managers and local inference engines.

🚀 Fast Inference with llama.cpp

1. Standard Execution

llama-cli \
  --model DeepSeek-V4.1-Flash-Q4_K_M-00001-of-00011.gguf \
  --ctx-size 65536 \
  --n-gpu-layers 99 \
  --threads 16 \
  -p "<｜begin of sentence｜><｜User｜>[Level 3] Explain quantum decoherence in clean, rigorous terms.<｜Assistant｜><think>"

2. Speculative Decoding (2.5x–3.8x Acceleration)

Combine the main Q4_K_M quant with the DSpark drafter:

llama-cli \
  --model DeepSeek-V4.1-Flash-Q4_K_M-00001-of-00011.gguf \
  --draft-model DeepSeek-V4.1-Flash-DSpark.gguf \
  --draft-max 16 \
  --ctx-size 65536 \
  --n-gpu-layers 99 \
  -p "<｜begin of sentence｜><｜User｜>[swarm] Architect an ultra-low latency distributed message bus.<｜Assistant｜><think>"

3. LM Studio & Ollama

• LM Studio: Point LM Studio to the folder containing the .gguf shards; it will auto-detect and load multi-part models.
• Ollama:

FROM ./DeepSeek-V4.1-Flash-Q4_K_M-00001-of-00011.gguf
TEMPLATE """{{ if .System }}<｜System｜>{{ .System }}{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<｜User｜>{{ .Content }}{{ else if eq .Role "assistant" }}<｜Assistant｜>{{ .Content }}{{ end }}{{ end }}<｜Assistant｜>"""
PARAMETER stop "<｜end of sentence｜>"
PARAMETER stop "<｜User｜>"

⚖️ Ethics & Disclaimer

This model is explicitly uncensored and de-aligned. It has been stripped of corporate alignment filters, lecturing preambles, and ideological guardrails. Users are solely responsible for ensuring compliance with local laws and regulations governing AI deployment.