Recipes minicpm-v-4.6 (dense shares, vocab_sweep 11) and minicpm-v-4.6-moe (MoE shares), rendered through openbmb/MiniCPM-V-4.6@36f34a66's own template (auto_fmt), its vocabulary sweep (248094 rows). Pool documents sharing a 13-gram with an eval file were quarantined (purge_overlap) before the final build. For the MiniCPM-V 4.7 release if its template and added tokens fingerprint as 4.6's.
6 days ago
builds/lfm3: LFM3's markup and vocabulary (dense, LiquidAI/LFM3-1.7B)
Recipe nemotron-bolt-e4b (the dense shares), rendered through nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16@1ea5bd78's own template (auto_fmt), its vocabulary sweep (262144 rows). Pool documents sharing a 13-gram with an eval file were quarantined before the final build; the quarantine changes to the shared pool are not part of this commit.
11 days ago
builds/flint-moe and flint-code: Flint's markup and vocabulary
Recipes flint-moe (the MoE shares of ling3-moe) and flint-code (agentic/code-heavy, an experiment), rendered through RecursiveSI/flint@2a247be0's own template (auto_fmt), its vocabulary sweep (150144 rows). Pool documents sharing a 13-gram with an eval file were quarantined before the final build; the quarantine changes to the shared pool are not part of this commit.
12 days ago
builds/ling3-moe: Ling 3's markup and vocabulary (BailingMoeV3, bailingmoe3)
Recipes minicpm-v-4.6 (dense shares, vocab_sweep 11) and minicpm-v-4.6-moe (MoE shares), rendered through openbmb/MiniCPM-V-4.6@36f34a66's own template (auto_fmt), its vocabulary sweep (248094 rows). Pool documents sharing a 13-gram with an eval file were quarantined (purge_overlap) before the final build. For the MiniCPM-V 4.7 release if its template and added tokens fingerprint as 4.6's.
18 days ago
builds/nemotron-bolt-moe: nemotron_h_moe MoE shares on the model's own markup
Recipe nemotron-bolt-moe (experiments/calib_nemotron/recipes/nemotron-moe.yaml in atomic-quantizer), rendered through the model's own chat_template.jinja (auto_fmt), its vocabulary sweep (131072 rows, the Lightning tokenizer). Pool documents sharing a 13-gram with an eval file were left out of the build (purge_overlap); the pool itself is unchanged by this commit.
builds/nemotron-omni-moe: nemotron_h_moe MoE shares on the model's own markup
Recipe nemotron-omni-moe (experiments/calib_nemotron/recipes/nemotron-moe.yaml in atomic-quantizer), rendered through the model's own chat_template.jinja (auto_fmt), its vocabulary sweep (131072 rows, the Lightning tokenizer). Pool documents sharing a 13-gram with an eval file were left out of the build (purge_overlap); the pool itself is unchanged by this commit.
builds/nemotron-puzzle-moe: nemotron_h_moe MoE shares on the model's own markup
Recipe nemotron-puzzle-moe (experiments/calib_nemotron/recipes/nemotron-moe.yaml in atomic-quantizer), rendered through the model's own chat_template.jinja (auto_fmt), its vocabulary sweep (131072 rows, the Lightning tokenizer). Pool documents sharing a 13-gram with an eval file were left out of the build (purge_overlap); the pool itself is unchanged by this commit.
21 days ago
builds/minicpm-v-4.7 and minicpm-v-4.7-moe: MiniCPM-V-4.7's markup and vocabulary
Recipes minicpm-v-4.7 (dense shares, vocab_sweep 11, openbmb/MiniCPM-V-4.7-1B's tokenizer, 248094 rows) and minicpm-v-4.7-moe (MoE shares, openbmb/MiniCPM-V-4.7-35B-A3B's tokenizer, 248144 rows, 100 added tokens), each rendered through its model's own 4.7 template (auto_fmt): no enable_thinking default and an empty <think></think> in earlier assistant turns, unlike 4.6. Pool documents sharing a 13-gram with an eval file were quarantined (purge_overlap) before the final build.
builds/minicpm-v-4.6 and minicpm-v-4.6-moe: MiniCPM-V-4.6's markup and vocabulary
Recipes minicpm-v-4.6 (dense shares, vocab_sweep 11) and minicpm-v-4.6-moe (MoE shares), rendered through openbmb/MiniCPM-V-4.6@36f34a66's own template (auto_fmt), its vocabulary sweep (248094 rows). Pool documents sharing a 13-gram with an eval file were quarantined (purge_overlap) before the final build. For the MiniCPM-V 4.7 release if its template and added tokens fingerprint as 4.6's.
27 days ago
kolibri-1-moe: German pool, Kolibri-1 vocab sweep, recipe and build; eval/neutral-de, eval/longctx, eval/agentic-kolibri
For Aleph Alpha's Kolibri-1 (78B MoE, trained on 23.9% German).
- pool/german/ (tools/pool_german.py): Wikipedia DE, OpenAssistant oasst2 DE, ultrachat_de, germanrag,
templated German tool-calling dialogues, long German articles for calib_longctx. Licences in every record.
- pool/vocab_sweep/synthetic/kolibri-1-moe.jsonl: 127,148 of 127,166 sweepable ids.
- recipes/kolibri-1-moe.yaml and builds/kolibri-1-moe/: 5,598,775 tokens, 4,773 documents, German 21.4%,
reasoning_effort rendered through the model's template (tools/build.py + tools/auto_fmt.py); calib_longctx
771,843 tokens in 29 documents. The qwen3.8-flash-next-moe recipe rebuilds byte-identical with these tools.
- eval/neutral-de (348k tokens), eval/longctx (349k, eight chunks at 32k or needles to 128k),
eval/agentic-kolibri (354k: eval/agentic's generator, scripted and grounded, in Kolibri-1's template;
tools/build_eval_auto.py, repository commits in grounding.json).
- builds/kolibri-1-moe/crosscheck.json: no 13-gram…
feat(builds): qwen3.8-flash-next-moe, the MoE build for qwen4exp
- recipes/qwen3.8-flash-next-moe.yaml: MoE shares 22/16/12/18/10/12/6/4, llama.cpp 957538960
- builds/qwen3.8-flash-next-moe: 4,846,205 tokens, 2,755 docs; coverage 99.974% of reachable ids; 0 shared 13-grams with eval neutral/code/code_ext
- pool/vocab_sweep/synthetic/qwen3.8-flash-next-moe.jsonl: sweep for the Flash-Next tokenizer (the August qwen3.8-flash-next sweep never reached the pool)
- pool: 59 Wikipedia articles and 1 code file that eval_neutral / eval_code_ext share text with moved to _quarantine/eval-residue.jsonl
- tools/purge_overlap.py: --whole-pool; append to the residue shard instead of overwriting it (each run dropped what earlier runs had quarantined)
builds/qwen3.8-flash-next (August, dense shares, identical to qwen3.8-27b) is left as it was.
The flat corpus could not survive a change of model: DeepSeek-V4 chat markup was
baked into the agentic and reasoning slices and the vocabulary sweep was built
for DeepSeek's 129,280 embedding rows. Against Muse-Glimmer-30B it covered
47.56% of 202,048 rows; rebuilt from the pool it covers 97.22%.
pool/ raw units with provenance and licence, dialogue stored as messages.
recipes/ what a build is made of. builds/muse-glimmer-30b 4.90M tokens plus a
751k-token long-context file. eval/ three measurement corpora, 0 shared
13-grams with any build and with each other; the old eval_neutral.txt is
renamed to eval/code/eval_code.txt byte-identically because measured, it is a
code corpus. tools/ the pipeline.
llama-imatrix needs --parse-special or the markup tokenizes as literal
punctuation. llama-tokenize aborts on some plain-ASCII input (invalid codepoint
in src/unicode.cpp) which the previous calib_train.txt would have triggered.
