MLukauskas/amber-hybrid-4b
AI model by MLukauskas
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Model card & documentation
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Amber Hybrid 4B is a typed decision engine: given a state and typed questions (multiple-choice choice or yes/no noul, each option described by its criteria), it returns a probability for every supplied option. Two models answer every question, and the answer is the plain mean of their two distributions: ModernBERT-large (395M, frozen) with a LoRA adapter (r=8) and a learned option scorer. The context and each option are encoded separately. into its weights at load and a learned code readout. Each question is one chat prompt with the state, the question and every option under a short code (A..Z, then two-letter codes). The readout at the prompt's last token gives one logit per option. Served parameters: 4.61B (Qwen3.5-4B's text model 4.21B, ModernBERT-large 0.40B, Amber's adapter and scorer 5.2M, the code readout 0.65M). 🇱🇹 Built in Lithuania. Amber is named after Baltic amber, gintaras in Lithuanian, which the sea washes up…
Read the full model card ↗ · Preview checked 2026-10-31T02:28:07.130Z
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Model overview
MLukauskas/amber-hybrid-4b is a task-unspecified model repository published by MLukauskas on Hugging Face. The source reports the pytorch library.
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Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- cc-by-nc-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-26T06:23:06.000Z
- Last modified
- 2026-10-26T06:26:37.000Z
Compatibility and lineage
Reported languages: en
Reported base models: answerdotai/ModernBERT-large, Qwen/Qwen3.5-4B
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 2026-10-26T06:47:05.388Z. Daily imports are snapshots, not real-time monitoring.
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