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Proxy-MT Benchmark Scores
Multilingual benchmark results for 35 open-weight LLMs, evaluated with the lm-evaluation-harness via a vLLM backend. Covers reasoning, comprehension, and knowledge tasks with an emphasis on African and other lower-resource languages.
Layout
scores/<model>.csv # parsed per-language scores (tidy, ready to plot)
raw/<model>/.../results_*.json # raw lm-eval-harness result files
raw/<model>/raw_log.txt # full evaluation console log (provenance)
lm_cache/ request caches are intentionally excluded.
scores/<model>.csv
One row per language code with a column per benchmark metric, e.g.:
lang_code,mgsm,belebele,global_mmlu,hellaswag,truthfulqa,mlqa,afrixnli,include
ben,0.125,...
Benchmarks parsed
AfriXNLI, Belebele, Global-MMLU, HellaSwag, TruthfulQA, MGSM, MLQA, INCLUDE.
Models (35)
aya-expanse-8b, aya-expanse-32b, tiny-aya-base, c4ai-command-r-08-2024, DeepSeek-R1-0528-Qwen3-8B, DeepSeek-R1-Distill-Llama-8B, DeepSeek-R1-Distill-Qwen-1.5B, DeepSeek-R1-Distill-Qwen-7B, DeepSeek-R1-Distill-Qwen-14B, DeepSeek-R1-Distill-Qwen-32B, gemma-3-1b-it, gemma-3-4b-it, gemma-3-12b-it, gemma-3-27b-it, gemma-4-E2B-it, gemma-4-E4B-it, gemma-4-26B-A4B-it, gemma-4-31B-it, glm-4-9b-chat, granite-4.1-8b, Llama-3.1-8B-Instruct, Llama-3.2-1B-Instruct, Llama-3.2-3B-Instruct, Ministral-3-3B-Instruct-2512, Ministral-3-8B-Instruct-2512, Ministral-3-14B-Instruct-2512, Mistral-Nemo-Instruct-2407, phi-4, Qwen3-1.7B, Qwen3-4B, Qwen3-8B, Qwen3-14B, Qwen3-30B-A3B, Qwen3.6-27B, Qwen3.6-35B-A3B.
Access
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