Llama 3.2 1B (Unsloth)
Llama 3.2 1B is Meta’s smallest Llama 3.2 model and a text-only baseline for edge setups. 1.23B dense parameters, 128,000 token context, locally deployable as Unsloth GGUF under the Llama 3.2 Community License. Suitable as a compact on-device reference, not as a quality anchor.
- Restricted Weights
- Nano
- llama.cpp
- Text
- Instruction-Tuned
- Real-Time
Sovereign Risk: LOW Meta releases Llama 3.2 under the Llama 3.2 Community License, and the Unsloth GGUF build is designed for fully local inference. The operational data exfiltration risk is low in offline operation, although the license remains restricted and not OSI-open.
Key metrics
Score · Latency · Cost · Quality
- Total Score Standard
- 44.35
- Routine
- 28.17
- Reasoning
- 16.18
- LLM Judge Avg
- 1.74 / 5
- 100 Coverage
- Avg Task Duration
- 18.12s
- Real-Time
- Token Rate
- 129.8tok/s
- Output Rate
- P95 Latency
- 156.84s
- Top 5 %
- Total Tokens
- 123800
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 123800 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Llama 3.2 1B (Unsloth)
Best model
Ø All models
Code Quality
28.1
CLI Benchmark
71.12
Logical Reasoning
38.31
UX Writing
40.05
Documentation
36.61
Content Transform.
60.06
Cultural Intelligence
49.6
Synthesis Quality
Tool Execution
ToolUse Score
Benchmark Cost
$0
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 / Standard).
- 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.