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tomvaillant/gemma4-12b-spotlight-orchestrator-v5-GGUF overview

Gemma 4 12B — Spotlight Orchestrator v5 GGUF Q4 K M Q4 K M quantization of the v5 Spotlight orchestrator — the servable artifact for the 12B local tier of Spot…

ggufllama.cpposintagentspotlighttext-generationconversationalenbase_model:unsloth/gemma-4-12b-itbase_model:quantized:unsloth/gemma-4-12b-itlicense:gemmaendpoints_compatibleregion:us

Runs locally from ~6.87 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
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gemma-4-12b-spotlight-orchestrator-Q4_K_M.ggufGGUFQ4_K_M6.87 GBDownload

Model Details

Model IDtomvaillant/gemma4-12b-spotlight-orchestrator-v5-GGUF
Authortomvaillant
Pipelinetext-generation
Licensegemma
Base modelunsloth/gemma-4-12b-it
Last modified2026-07-10T15:16:48.000Z

Model README

---

base_model: unsloth/gemma-4-12b-it

pipeline_tag: text-generation

license: gemma

language:

  • en

tags:

  • gguf
  • llama.cpp
  • osint
  • agent
  • spotlight

---

Gemma-4 12B — Spotlight Orchestrator v5 (GGUF Q4_K_M)

Q4_K_M quantization of the v5 Spotlight orchestrator — the servable artifact

for the 12B local tier of

Spotlight. It is merged from the

v5 LoRA adapter

with Unsloth's native merge path, coherence-checked, and converted with

llama.cpp.

Files

  • gemma-4-12b-spotlight-orchestrator-Q4_K_M.gguf — the single 7.381 GB,

text-only Q4_K_M deployment artifact. Vision weights are intentionally not

included.

Serving — the flags are load-bearing

llama-server -m gemma-4-12b-spotlight-orchestrator-Q4_K_M.gguf \
  --port 8093 --host 127.0.0.1 \
  --ctx-size 81920 --parallel 2 --no-cache-idle-slots \
  --n-gpu-layers 999 --jinja --flash-attn on \
  --cache-type-k q8_0 --cache-type-v q8_0 \
  --reasoning-budget 400 \
  --alias gemma-4-12b-spotlight-v5

These settings are part of the tested configuration:

  • --parallel 2 --ctx-size 81920 gives each slot 40,960 tokens, matching the

tuning context and leaving enough room for a full investigation loop.

  • --no-cache-idle-slots prevents slot save/restore failures during subagent

delegation.

  • --reasoning-budget 400 prevents reasoning from consuming the response

budget before a tool call or gate presentation is emitted.

  • --jinja enables tool calling; q8 KV and flash attention keep memory use

inside the local 48 GB target.

What it is trained to do

Drive Spotlight's brief → methodology → research → fact-check → report pipeline;

delegate constrained investigation and fact-check work; obey human gates; and

recover cleanly when deterministic validators reject structured inputs. The v5

dataset contains the report-execution recovery contexts that v4 fumbled, but the

production harness no longer asks any model to edit the 20 KB HTML template:

Spotlight renders all three report artifacts deterministically from validated

findings.json and fact-check.json.

Validation status

Released 2026-07-10 after the preserved v4 failure fixture passed the canonical

report finalizer: evidence-chain validation, deterministic Markdown/HTML/evidence

map rendering, report-gate validation, and byte-identical repeat rendering. The

same finalizer also passed the completed 26B case. A fresh full 12B E2E is the

post-release validation; report file construction is no longer part of that

model-capability bet.

Install

curl -fsSL https://spotlight.buriedsignals.com/install-spotlight.sh | bash

Direct GGUF download:

hf download tomvaillant/gemma4-12b-spotlight-orchestrator-v5-GGUF \
  gemma-4-12b-spotlight-orchestrator-Q4_K_M.gguf

Limitations

The model does not replace source verification. Spotlight's deterministic

fact-check validator and report finalizer are required deployment components.

Tool use is tuned against Spotlight's harness schema and may not transfer to

other agent frameworks without adaptation. The Q4_K_M artifact is text-only;

use a separate vision-capable fact-check tier for scanned documents or imagery.

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