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katostrofik/qwen36-35b-a3b-fp8-two-blackhole-tt-cache

Qwen3.6-35B-A3B-FP8 two-Blackhole TT cache This dataset contains the generated same-source compressed owner-bank cache used by a public Qwen/Qwen3.6-35B-A3B-FP8 two-Blackhole runtime project. Project repo: https://github.com/PMZFX/TT-qwen36-35b-a3b-fp8-two-blackhole The GitHub repo contains the runtime code, TT-Lang spike, reliability harnesses, release notes, and helper scripts. This dataset supplies the generated TT cache that is too large for the GitHub repo.… See the full description on the dataset page: https://huggingface.co/datasets/katostrofik/qwen36-35b-a3b-fp8-two-blackhole-tt-cache.

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Qwen3.6-35B-A3B-FP8 two-Blackhole TT cache

This dataset contains the generated same-source compressed owner-bank cache used by a public Qwen/Qwen3.6-35B-A3B-FP8 two-Blackhole runtime project.

Project repo:

https://github.com/PMZFX/TT-qwen36-35b-a3b-fp8-two-blackhole

The GitHub repo contains the runtime code, TT-Lang spike, reliability harnesses, release notes, and helper scripts. This dataset supplies the generated TT cache that is too large for the GitHub repo.

Contents

  • —same_source_compressed_owner_bank_cache_v0/: generated TT tensorbin cache for same-source compressed BFP4 owner-bank residency.
  • —same_source_compressed_owner_bank_cache_v0.sha256: SHA-256 checksum manifest for the cache files.

The cache was generated from the warm resident bundle and source tensorbin materialization path in the project. It is intended to let another two-Blackhole system skip the expensive local cache generation step and run the current production candidate directly.

Runtime Profile

Canonical runtime profile:

bash
--mesh-two-card --tt-lang-sidecar-current-production-candidate

Validation snapshot from 2026-05-15:

  • —Public release validation: 8/8 cases passed.
  • —Generated tokens across validation: 91.
  • —Token drift mismatches: 0.
  • —Sidecar fallback markers: 0.
  • —Sidecar error markers: 0.
  • —Sidecar setup failures: 0.
  • —Mean warmed proxy step: about 122 to 129 ms across validation suites.
  • —Mean warmed routed step: about 14.6 to 15.1 ms across validation suites.
  • —Observed warmed generation rate: about 7.7 to 8.2 tokens/s in the validation cases.

How to Use

Clone the source repo:

bash
git clone https://github.com/PMZFX/TT-qwen36-35b-a3b-fp8-two-blackhole.git
cd TT-qwen36-35b-a3b-fp8-two-blackhole

Download this dataset into any working directory. If using the GitHub repo's default layout, this example puts it under the repo's results/tt_lang_spike directory:

bash
export PROJECT_ROOT=/path/to/TT-qwen36-35b-a3b-fp8-two-blackhole
hf download katostrofik/qwen36-35b-a3b-fp8-two-blackhole-tt-cache \
  --repo-type dataset \
  --local-dir "$PROJECT_ROOT/llm/projects/qwen36-35b-a3b-fp8-two-blackhole/results/tt_lang_spike"

Verify checksums from the results directory:

bash
cd "$PROJECT_ROOT/llm/projects/qwen36-35b-a3b-fp8-two-blackhole/results/tt_lang_spike"
sha256sum -c same_source_compressed_owner_bank_cache_v0.sha256

If the cache is stored elsewhere, pass this manifest path to runtime commands that accept the compressed cache:

bash
--tt-lang-sidecar-compressed-bank-cache-manifest \
  /path/to/same_source_compressed_owner_bank_cache_v0/manifest_all_layers_all_roles_cards01_materialized.json

Run the public release validation from the TT-Lang spike directory:

bash
cd "$PROJECT_ROOT/llm/projects/qwen36-35b-a3b-fp8-two-blackhole/tt_lang_spike"
.venv-tt-lang-py312/bin/python run_public_release_validation.py \
  --out-dir ../results/tt_lang_spike/public_release_validation_REVIEW

The source repo also includes fallback scripts to regenerate the cache from local model weights and the warm resident tensorbin bundle when needed.

Notes

This artifact is a generated runtime cache for Tenstorrent Blackhole hardware. It does not replace the upstream model repository or its terms. Use of the cache should follow the upstream Qwen model terms and any applicable project dependencies.