CodeLlama 34B Instruct HF — Benchmarks

Benchmark scores for CodeLlama 34B Instruct HF aggregated from public leaderboards (1 boards), with how it ranks among open models and how it compares with its nearest neighbours. See hardware requirements for what you need to run it.

No llmrun Composite Score for CodeLlama 34B Instruct HF: the score is only published for a model measured on at least 4 of the boards in the score panel, spanning at least 2 benchmark categories and including a reasoning or coding board — or on 3 boards that narrow its score to a 90% range of at most 15.6 points. Either way the results must come from at least two different benchmarks. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.

CodeLlama 34B Instruct HF instruction following benchmarks

How precisely a model obeys explicit, verifiable instructions — format, length, and content constraints — and, more broadly, how much people prefer its responses head-to-head in blind human voting.

LMArena Text
Arena (arena.ai, formerly LMArena / Chatbot Arena) ranks models by millions of blind, head-to-head human votes on real prompts. The Arena Score shown here is a Bradley-Terry rating computed with Arena's default style control, so higher means people preferred that model's answers more often — it's a relative rating, not a percentage, so compare it only to other models on this board.
1136.9
1136.9
median 1321.4open leader 1488.2
Overall best: Gemini 4 Carbon (High) 1527.5
7th percentile · #175 of 188 open · #380 of 408 all
#175 of 188
#380 of 408
Arena
Arena · Oct 2026

Scores aggregated from public benchmark sources (Arena: 1 board) — each linked from the benchmark pages. llmrun does not run these benchmarks. Percentiles and ranks are among open models in the llmrun catalogue; the median and leader marks refer to the same field.