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updated 2d ago
Python · MIT

ARahim3/kaggle-tpu-lab

Frontier-class open models on a free Kaggle TPU v5e-8: GLM-5.3-Flash 320B MoE (~165 tok/s, our own JAX engine) and Qwen3.8-27B bf16 (~130 tok/s), 262k context, prefix caching. Works with Claude Code, Codex, opencode and pi.

★ 763
Stars
101 forks · 20 open issues
+2.7/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
31.8
Momentum / 100
see the breakdown below
2mo ago
Created
last push 32d ago

Star history

2026-10-10 577 → 763 stars +186 over 26 days 2026-11-05

How this score was built

ComponentWeightEarnedWhy
Velocity5510.9 +2.7/day, log-scaled against a 750/day ceiling
Acceleration150.0 last week ran 0.38× the monthly pace
Freshness1512.5 last push 32d ago; decays to zero at 180 days
Scale158.4 763 stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum10031.8 sum of the above

Detail

Topicsanthropic-apiclaude-codecoding-agentsfree-gpuglmglm-5-3-flashjaxkagglellm-inferencellm-servinglong-contextmixture-of-expertsopenai-apipallasqwenqwen3speculative-decodingtputpu-inferencevllm
Matched onLLM & Inference (llm-inference, llm-serving)
Short window+19 stars over 7 days = 2.7/day
Long window+186 stars over 26 days = 7.2/day
Lifetime average11.60 stars/day over 66 days
First seen here2026-10-11
Last read2d ago