Occamy 1.0 35B-A3B (Accio-Lab)
Occamy 1.0 by Accio-Lab is an agentic derivative of the Qwen3.6-35B-A3B checkpoint, focused on long-horizon co-work sessions with tools, structured APIs, and persistent state tracking. The NVFP4 quantization is selective: only the routed experts are quantized, while attention, router, embeddings, and output head remain in BF16. The 35-billion-parameter MoE activates only 3 billion parameters per token and supports 262,000 tokens of context. Apache 2.0 license and documented provenance with recipe, data, and validation artifacts.
- Open Weights
- Workstation
- vLLM
- Text
- Vision
- Interactive
Sovereign Risk: MEDIUM Occamy 1.0 NVFP4 is a community derivative of Qwen/Qwen3.6-35B-A3B, with a published provenance trail including the quantization recipe, data-provenance file, and validation artifacts. The upstream base is Apache 2.0, the checkpoint runs locally, and the NVFP4 export is limited to routed experts, but Accio-Lab’s organizational jurisdiction is not publicly documented, so the provenance risk remains medium.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 74.39
- Routine
- 45.41
- Reasoning
- 28.98
- LLM Judge Avg
- 3.79 / 5
- 100 Coverage
- Avg Task Duration
- 26.27s
- Interactive
- Token Rate
- 30tok/s
- Output Rate
- P95 Latency
- 66.3s
- Top 5 %
- Total Tokens
- 71600
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 71600 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 / 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.