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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)… Why it matters: relevant if AI is part of your coding workflow.

GitHub description: 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.

Stars

624

Last 24h

+14est.

Last 7 days

+101est.

Forks

87

Star history

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About kaggle-tpu-lab

ARahim3/kaggle-tpu-lab is a Python project in the Coding agents category, created 43 days ago. It has 624 GitHub stars and 87 forks, and gained +101 stars over the last 7 days (early estimate), ranking #9 of 71 Coding agents repos tracked by OSS Radar this week.

See more trending Coding agents repos or the top AI repos this week.

Language
Python
Category
Coding agents
Created
Aug 31, 2026
Last code push
7 days ago (Oct 6, 2026)
Latest release
No releases yet
  • anthropic-api
  • claude-code
  • coding-agents
  • free-gpu
  • glm
  • glm-5-3-flash
  • jax
  • kaggle
  • llm-inference
  • llm-serving
  • long-context
  • mixture-of-experts
  • openai-api
  • pallas
  • qwen
  • qwen3
  • speculative-decoding
  • tpu
  • tpu-inference
  • vllm

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