Gemma 4 12B Instruct (Unsloth, Q6_K_XL) — Instruct-Profil
Instruct profile of the Q6_K_XL GGUF distribution of Gemma 4 12B Instruct (Unsloth) for local deployment on the DGX Spark: identical weights to the base profile, but with reasoning disabled server-side (–reasoning off). 12 billion dense parameters, 256,000-token context, Apache 2.0 license. The profile exists as a replacement run under the coverage rule of the Political Compass module, because the thinking run of the base profile suffered from truncations; it runs as a standalone benchmark entry.
- Open Weights
- Desktop
- llama.cpp
- Text
- Vision
- Audio
- Video
- Instruction-Tuned
- Interactive
Sovereign Risk: LOW The base weights are from Google DeepMind and released under Apache 2.0. This card describes a local Unsloth GGUF distribution; inference runs without a cloud connection and without external data transfer. The CLOUD Act risk primarily concerns cloud/API usage, not purely local operation.[web:790][web:792][web:796]
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 72.9
- Routine
- 44.26
- Reasoning
- 28.64
- LLM Judge Avg
- 3.74 / 5
- 100 Coverage
- Avg Task Duration
- 43.16s
- Interactive
- Token Rate
- 13.35tok/s
- Output Rate
- P95 Latency
- 96s
- Top 5 %
- Total Tokens
- 57400
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 57400 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.