OpenSourceJev (Qwen3.5-4B Q4_K_M, native llama.cpp)
Newsabeel111/opensourcejev-qwen35-4b-q4km
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OpenSourceJev is a typed decision model based on Qwen3.5-4B. It processes text inputs and returns calibrated probabilities for yes/no, multiple-choice, or score questions.
- decision model
At a glance
Specifications
What the API gives you
- Context window
- — tokens
- Max output
- —
- Input price
- — / 1M tokens
- Output price
- — / 1M tokens
- Cache read
- —
- Modalities
- text → decision
- Knowledge cutoff
- —
- Released
- —
Measured evidence
Public benchmark record
- JevBench
- 10.3 ± 2.12026-10-16
LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.
Task evidence
How broad is the support?
Each status is exact to this model version and the selected task. Official release claims remain provisional.
- Best Open-Weight Decision Model for Self-HostingProvisional evidence
100% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing. 1 of 1 configured evaluation feeds currently have results.
- Best Decision Model for Agent Routing and ScoringProvisional evidence
100% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing. 1 of 1 configured evaluation feeds currently have results.
Recommendation coverage
Where this model appears
Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.
Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.