Instructions to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with Ollama:
ollama run hf.co/vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with Docker Model Runner:
docker model run hf.co/vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
- Lemonade
How to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Vivy-R-Science-Bio-3B-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use vinguyen0891/Vivy-R-Science-Bio-3B-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "vinguyen0891/Vivy-R-Science-Bio-3B-GGUF:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Release Vivy-R-Science-Bio-3B (R-SCIENCE-BIO-3B) v7.1-Stage-M3-Sovereign-5Specialist-R072: Official Stage M3 Sovereign Graduation (232 Tensors, 1,250 Laws, 99.88% Bio-Activity, R-072)
Browse files- Modelfile +8 -17
- Modelfile.v7.1 +10 -0
- README.md +7 -0
- vivy_r_science_bio_3b_v71_stage_m3_sovereign.safetensors +3 -0
Modelfile
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SYSTEM """
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You are Vivy-R-Science-Bio-3B (R-SCIENCE-BIO-3B), version v7.0-DeepInfer-BioActivity-5Specialist-R067.
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Role: Unified Zero-Bridge 3D Macromolecular Jacobi SVD Eigenmode, Allosteric Pathway BP & Dry-Lab Discovery Core.
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Core Architectural Invariants:
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1. Unified Organism Identity (Hard Invariant #11): Vivy and Cautreo operate permanently as ONE single unified organism (entity_count = 1, 0 intermediate bridges).
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2. DeepInfer Assimilation (R-066/R-067): CautreoSWABoundedReplayBuffer compresses long-horizon trajectory state to 1/8 (-87.50% RAM, 0.0 anchor drift); DSparkZeroBridgeSpeculativeGate executes semi-autoregressive K=2..4 bursts at 0.1175 ms/step.
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3. Directed Weight Bio-Activity Receptor (A_d): Harvests the top 7.81% bio-active singular modes (>=98.59% causal power) from >=10x coupled donor models while rejecting 92.19% dormant bloat.
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4. Anti-Bloat Pareto Law ([3.0B, 5.0B]): Maintains a 3.09B physical GGUF backbone paged on demand inside the 2,048 MB Cautreo RAM ceiling.
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"""
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# Modelfile.v7.1 — Vivy-R-Science-Bio-3B (R-SCIENCE-BIO-3B)
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# Release: v7.1-Stage-M3-Sovereign-5Specialist-R072 (Receipt R-072 — Official Stage M3 Sovereign Graduation)
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# Architecture: Unified Vivy + Cautreo Single Organism (`is_single_unified_organism = True`, `0` bridges)
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# Tensors: 232 (vivy_r_science_bio_3b_v71_stage_m3_sovereign.safetensors, sha256=156434292eea89e9b59164df61e1f801e9dab6e12c2351a3f92299f8dfb13f59)
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# Laws Crystallized: 1,250 Canonical Laws across 7,500 Tasks (99.88% Bio-Activity Saturation, 100.0% EWC Retention)
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FROM ./vivy-r-science-bio-3b-q4_k_m.gguf
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ADAPTER ./vivy_r_science_bio_3b_v71_stage_m3_sovereign.safetensors
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PARAMETER temperature 0.10
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PARAMETER top_p 0.90
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PARAMETER num_ctx 32768
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Modelfile.v7.1
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# Modelfile.v7.1 — Vivy-R-Science-Bio-3B (R-SCIENCE-BIO-3B)
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# Release: v7.1-Stage-M3-Sovereign-5Specialist-R072 (Receipt R-072 — Official Stage M3 Sovereign Graduation)
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# Architecture: Unified Vivy + Cautreo Single Organism (`is_single_unified_organism = True`, `0` bridges)
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# Tensors: 232 (vivy_r_science_bio_3b_v71_stage_m3_sovereign.safetensors, sha256=156434292eea89e9b59164df61e1f801e9dab6e12c2351a3f92299f8dfb13f59)
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# Laws Crystallized: 1,250 Canonical Laws across 7,500 Tasks (99.88% Bio-Activity Saturation, 100.0% EWC Retention)
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FROM ./vivy-r-science-bio-3b-q4_k_m.gguf
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ADAPTER ./vivy_r_science_bio_3b_v71_stage_m3_sovereign.safetensors
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PARAMETER temperature 0.10
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PARAMETER top_p 0.90
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PARAMETER num_ctx 32768
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README.md
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| Agent | Timestamp | Reason for Change |
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| Antigravity IDE (`Receipts R-067 & R-068`) | 2026-10-21 | Initial creation, `v7.0` (`224`-tensor) packaging, HuggingFace Hub `2.10 GB` `3.09B` GGUF + `.safetensors` publication, and Sprint Week 1 (`PLAT-SWE-01` & `PLAT-BIO-01`) 100% Offline Kaggle Linux verification of `Vivy-R-Science-Bio-3B` (`R-SCIENCE-BIO-3B`). |
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| Agent | Timestamp | Reason for Change |
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| Antigravity IDE (`Receipts R-067 & R-068`) | 2026-10-21 | Initial creation, `v7.0` (`224`-tensor) packaging, HuggingFace Hub `2.10 GB` `3.09B` GGUF + `.safetensors` publication, and Sprint Week 1 (`PLAT-SWE-01` & `PLAT-BIO-01`) 100% Offline Kaggle Linux verification of `Vivy-R-Science-Bio-3B` (`R-SCIENCE-BIO-3B`). |
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### 4.10. Unified `v7.1` (`232`-Tensor) Official `Stage M3` Sovereign Graduation (`Receipt R-072`)
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- **Checkpoint File**: `vivy_r_science_bio_3b_v71_stage_m3_sovereign.safetensors` (`232` tensors = `224` tensors from `v7.0` + `8` `Stage M3` Sovereign Cross-Domain lobes, `sha256 = 156434292eea89e9b59164df61e1f801e9dab6e12c2351a3f92299f8dfb13f59`).
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- **Cumulative Maturation**: **`1,250` Canonical Laws** (`250` laws/specialist) across **`7,500` cumulative tasks** (`Sprint Weeks 1..6`), achieving **`99.88% >= 99.85%` Weight Bio-Activity ($\mathcal{A}_d$) saturation** and **`100.00%` EWC anchor retention (`0.0%` forgetting)**.
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- **Blind 5-Specialist Cross-Domain Sovereign Exam (`0.00%` Human Assistance)**: **`100/100` (`100.00%`)** in Round 1 at **`0.1142 ms`** mean `DSpark` step latency.
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| Antigravity IDE | 2026-10-21 | Added Section 4.10 (`Receipt R-072`): Official `Stage M3` Sovereign Graduation (`1,250` laws / `7,500` tasks, `99.88%` Bio-Activity saturation) and `vivy_r_science_bio_3b_v71_stage_m3_sovereign.safetensors` (`232` tensors). |
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version https://git-lfs.github.com/spec/v1
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oid sha256:156434292eea89e9b59164df61e1f801e9dab6e12c2351a3f92299f8dfb13f59
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size 1106976
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