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baa-ai/Llama-4-Scout-17B-16E-Instruct-RAM-105GB-GGUF overview

Llama 4 Scout 17B 16E Instruct — 105GB GGUF Mixed precision quantized version of meta llama/Llama 4 Scout 17B 16E Instruct https://huggingface.co/meta llama/Ll…

ggufquantizedmixed-precisiontext-generationbase_model:meta-llama/Llama-4-Scout-17B-16E-Instructbase_model:quantized:meta-llama/Llama-4-Scout-17B-16E-Instructlicense:otherendpoints_compatibleregion:usconversational

Runs locally from ~97.92 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).

Downloads
37
Likes
0
Pipeline
text-generation
Author

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Llama-4-Scout-17B-16E-Instruct-RAM-105GB.ggufGGUFGGUF97.92 GBDownload

Model Details

Model IDbaa-ai/Llama-4-Scout-17B-16E-Instruct-RAM-105GB-GGUF
Authorbaa-ai
Pipelinetext-generation
Licenseother
Base modelmeta-llama/Llama-4-Scout-17B-16E-Instruct
Last modified2026-10-16T09:40:17.000Z

Model README

---

library_name: gguf

tags:

  • gguf
  • quantized
  • mixed-precision

license: other

base_model: meta-llama/Llama-4-Scout-17B-16E-Instruct

base_model_relation: quantized

pipeline_tag: text-generation

---

Llama-4-Scout-17B-16E-Instruct — 105GB (GGUF)

Mixed-precision quantized version of meta-llama/Llama-4-Scout-17B-16E-Instruct using a proprietary quantization method by baa.ai.

Metrics

| Metric | Value |

|--------|-------|

| Size | 105.1 GB |

| Average bits | 7.80 |

| Format | llama.cpp (GGUF) |

Usage

brew install llama.cpp huggingface-cli

hf download baa-ai/Llama-4-Scout-17B-16E-Instruct-RAM-105GB-GGUF --include "*.gguf" --local-dir ./llama-4-scout-17b-16e-instruct-ram-105gb

llama-cli -m ./llama-4-scout-17b-16e-instruct-ram-105gb/Llama-4-Scout-17B-16E-Instruct-RAM-105GB.gguf -p "Hello!" -n 256 -ngl 99

Or via llama-server for an OpenAI-compatible HTTP API:

llama-server -m ./llama-4-scout-17b-16e-instruct-ram-105gb/Llama-4-Scout-17B-16E-Instruct-RAM-105GB.gguf --port 8080 -ngl 99 --ctx-size 8192

Also works with Ollama, LM Studio, and llama-cpp-python.

---

Quantized by baa.ai

---

Black Sheep AI Products

Black Sheep AI builds private AI with the Bounded AI Architecture (BAA): three layers, each bound to something you control, on infrastructure you control. Nothing leaves your boundary.

Ram (Reasoning Layer) — Full-capability frontier models, shrunk to fit smaller GPUs with reasoning kept and certified. They rely strictly on your Data Modules for knowledge, so you swap the model as better ones ship.

Paddock (Knowledge Plane) — Binds your Data Modules directly to the reasoning layer: one per topic, period, person, permission or tenant. Permission, freeze, hand back or delete each one on its own.

Watchman (GRC Layer) — Governance, risk and compliance in a single, complete audit log: every module permission, every bind, every model's provenance. Five certificates before anything goes live.

Shepherd — Takes a frontier model, compresses it into a Ram reasoning model, certifies it with Watchman, binds it to your Paddock, and deploys the Bounded AI Architecture to your infrastructure: your cloud, a Mac Studio, or an air-gapped facility.

Learn more at baa.ai — Private AI for enterprises whose data cannot leave the building.

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