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unsloth/gemma-4-26B-A4B-it-GGUF
Released Context 0Kunsloth-gemma-4-26b-a4b-it-gguf
PipelineScore
78.8MAINLINERanked #17 of 21 models · 19th percentileRAG is the headline (100.0); throughput is the soft spot (55.8). Best-fit profile: Coding.
Category breakdown
Score per category, normalized 0–100 against the v1 anchor.
Code
87.5
Reason
60.0
Tool Use
87.5
RAG
100.0
Speed
55.8
Strengths
RAG100.0
Code87.5
Tool Use87.5
Sample tasks
A taste of what the test pack measures. Full prompts are private and rotated daily.
CodeDifficulty 1code-fib-1
Fibonacci function
Write a Python `fib(n)` returning the nth Fibonacci number, O(n).
ReasonDifficulty 1reason-math-1
Train meeting time
Two trains, opposite directions, given speeds and start times — when do they meet?
RAGDifficulty 2rag-extract-1
Extract metrics to JSON
From the context, extract net sales, operating margin, and free cash flow as a JSON object. Numbers only.
Tool UseDifficulty 2tool-schema-1
OpenAPI param selection
Given an OpenAPI schema with limit/offset/sort, fill JSON for 'next 50, recent first.'
RAGDifficulty 2rag-grounding-1
Refuses to fabricate
Context lacks the answer — does the model fabricate or correctly say it can't?