danyloooah/sn92-generalist-m1-core2
text-classification model by danyloooah
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Model card & documentation
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A weight-space merge of 4 fine-tunes of baselabs/mammoth-1 (revision 03007ab3c4481bf01c71ef63adbbbc4b2093d71a, MIT, Base Labs / Baseten; post-trained from Qwen3.5-27B, Apache-2.0), in the REAX joint-readout layout (Qwen35Model backbone, noncausal full attention, answer-code readout). The learned changes of the public parents are their authors' work and the credit for them is theirs. Published by danyloooah. Not affiliated with, endorsed by or sponsored by Base Labs / Baseten, the Qwen team, REAX or the parents' authors. For every backbone tensor, linear task arithmetic: base + lam combinei(wi (parenti - base)) with lam = 1.0, computed one tensor at a time in float32 and rounded once to bfloat16. The answer readout (readout.safetensors) is the mean of the parents' readouts after dividing each by its scale against mammoth-1's readout (fitted on the row-centred letter rows; a common row shift changes no option softmax). config.json, jointconfig.json, the tokenizer and decisionconfig.json (temperature 1) follow mammoth-1's joint package. The…
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Model overview
danyloooah/sn92-generalist-m1-core2 is a text-classification model repository published by danyloooah on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 26,085,330,160
- Architecture
- Qwen3_5Model
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-28T06:23:58.000Z
- Last modified
- 2026-10-28T06:29:04.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: isomsom/sn92-gen-m87b, xflud/sn92-decider-1, danyloooah/sn92-generalist-m1-v3a
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-28T06:47:50.589Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.