tomvaillant/gemma4-12b-spotlight-orchestrator-v4-GGUF overview
Gemma 4 12B — Spotlight Orchestrator v4 GGUF Q4 K M Q4 K M quantization ~7.4 GB of the v4 Spotlight orchestrator — the servable artifact for the 12B local tier…
Runs locally from ~6.87 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-4-12b-spotlight-orchestrator-Q4_K_M.gguf | GGUF | Q4_K_M | 6.87 GB | Download |
Model Details
| Model ID | tomvaillant/gemma4-12b-spotlight-orchestrator-v4-GGUF |
|---|---|
| Author | tomvaillant |
| Pipeline | text-generation |
| License | gemma |
| Base model | unsloth/gemma-4-12b-it |
| Last modified | 2026-07-10T09:17:05.000Z |
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 v4 (GGUF Q4_K_M)
Q4_K_M quantization (~7.4 GB) of the v4 Spotlight orchestrator — the servable
artifact for the 12B local tier of
Spotlight, an open-source OSINT
investigation harness. Merged from the
(Unsloth-native merge with coherence check) and converted with llama.cpp.
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-v4
Hard-won on real investigation runs (48 GB Apple Silicon):
--parallel 2 --ctx-size 81920→ 40,960 tokens per slot (a full
investigation loop reaches ~26k+). Bare -c 65536 without --parallel
allocates 4 full-size slots and OOMs.
--no-cache-idle-slots— without it, the orchestrator's slot state is
saved/cleared on delegation and the restore fails mid-investigation
(failed to find available cells in kv cache). This bug masked model
capability across three tune iterations.
--reasoning-budget 400— matches the tune's reasoning cap; unbounded
reasoning consumes the whole token budget thinking and returns empty content.
--jinja— required for tool calling;--cache-type-k/v q8_0 --flash-attn on
keep KV memory inside budget.
What it is trained to do
Drive the Spotlight orchestrator role: manage the phase pipeline (brief →
methodology → research → fact-check → report), delegate to
investigator/fact-checker subagents, present at human-approval gates with
non-empty syntheses, run the deterministic fact-check evidence validator before
the fact-check gate, and escalate bot-walled fetches to browser automation. See
the adapter card for the v4 dataset and the fixes over v3.
Status
Targeted checkpoint evaluation in progress (2026-07-10): resume-at-stall gate
presentation passed; fact-check replay and full chain-to-report pending.
Supersedes
buriedsignals/gemma4-12b-spotlight-orchestrator-v3-GGUF
once validation completes.
Run tomvaillant/gemma4-12b-spotlight-orchestrator-v4-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models