josefprusa/ThinkingCap-Qwen3.6-27B-int4-AutoRound-v1 Text Generation β’ 6B β’ Updated 21 days ago β’ 10.4k β’ 48
view post Post 112 Structured financial facts, each linked to the character in the filing it came from π°πToday I am introducing two datasets and a model trained on them: StockAlloy/filedfact-passages A passage-complete dataset of phrases and the embedded financial facts. StockAlloy/filedfact-100kA fact-sampled version- one grounded financial fact per row, deep-linked to its source. StockAlloy/filedfact-qwen3-8bAn 8B model fine-tuned to read a filing passage and return the facts as JSON. Kroam1/filedfact-demoLive demo - paste a passage, see the facts. See translation 1 reply Β· π 3 3 + Reply
Running on Zero Agents 1 FiledFact β SEC Fact Extraction π 1 Paste an SEC filing passage β XBRL-aligned facts as JSON
view post Post 11689 Qwen 3.6 27B Fine tune exceed 700 ARC-C for both 8 and 4 bit.A new level of uncensored performance the puts this model squarely at "closed source" level of intelligence.Model exceeds all critical benchmarks for both Qwen 3.6 27B AND Qwen 3.6 35B-A3B... and not by a little either.Neo Imatrix MAX ggufs in both regular and MTP quants.Benchmarks for Qwen 3.6 27B org and tuned, as well as Qwen 3.6 35B-A3B are up at the repo. DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF See translation 11 replies Β· β€οΈ 15 15 π 7 7 + Reply
Running on Zero Agents 1 FiledFact β SEC Fact Extraction π 1 Paste an SEC filing passage β XBRL-aligned facts as JSON