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[spindle version] Release 0.1.4 - #168
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Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Summary
Releases 0.1.4. This is the version to install for faster DeepSeek-V4.1-Flash sampling and sampler starts, and for
spindle skills install.spindle.__version__is now0.1.4.Unreleasedsection ofCHANGELOG.mdbecomes0.1.4 - 2026-10-29. It gains entries for the PRs merged after thev0.1.3tag that had none: [trainer throughput] Train the DeepSeek-V4.1-Flash 32K recipe at TP4, and at TP2 on B300 #163 (32K at TP4, thedeepseek_v41_flash_lora_32k_b300recipe), [sampler throughput] Decode long DeepSeek-V4.1-Flash samples with the checkpoint's draft heads #165 (draft-head decoding on the 32K recipes), [sampler throughput] Let DeepSeek-V4.1-Flash samplers run 128 requests at once #147 (128 running requests), [sampler cold start] Load DeepSeek-V4.1-Flash sampler weights in parallel #148 and [sampler cold start] Pin Engram host tables per rank in DeepSeek-V4.1-Flash samplers #149 (sampler weight load and Engram pinning), [sampler cold start] Keep sampler kernels on the shared kernel-cache volume #146 (prebuilt prompt-indexing extension) and add skills and cli cmd #140 (spindle skills install). The two existing entries gain their PR numbers.@v0.1.4.When this merges, the release workflow tags
v0.1.4and publishes a GitHub Release from the0.1.4changelog section.E2E
Checked from the release commit (
f9976fc) before the merge: a fresh project withmodal-spindlepinned to it,spindle deployof aqwen35_9b_instruct_lora_16ksubclass, then the stock Tinker RL example for 5 steps.spindle --versionand/api/v1/get_server_capabilitiesboth report0.1.4at that commit.W&B: https://forge.coreweave.com/wandb/modal-labs/spindle-v014-e2e/runs/splns55o
The 0.1.2 check of the same recipe took 319.5 s for step 0 and 18.5 to 26.2 s per step after.
🤖 Generated with Claude Code