LM Evaluation Harness

vLLM backend

EleutherAI lm-evaluation-harness 0.4.13 with vLLM for fast benchmark runs.

PublishedociLLM inference

Needs 22 GiB of GPU memory · CUDA on NVIDIA

Pick a machine

No machine can run this right now.

New machines appear as hosts connect them.

Have a GPU? Earn with it See all machines

Doesn't fit (4)

1× Apple M5 Max (40-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 Pro (20-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 · New hostno inference runtime for this machine's backend1× Apple M1 Pro (14-core GPU) · New hostno inference runtime for this machine's backend

Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 24 GB
Backend: Set by the machine you pick
Version: lm-eval-harness-v1.0.0
Image digest: a0eece142af8…
Health check: SSH probe on the leased endpoint

We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.

#eval #benchmark #vllm

Reviews

No reviews yet.