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Llama-3.2-1B-Instruct-safetyquant-c4
Jeesup/Llama-3.2-1B-Instruct-safetyquant-c4
Llama-3.2-1B-Instruct-safetyquant-c4 is a machine learning model from Jeesup. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Quantized variant used in the Safety-Aware Configuration-Conditioned LoRA study.
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.safetensors1 GB · 98%
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U8973M · 79%
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From the Hugging Face model README
Llama-3.2-1B-Instruct — configuration c4 (NF4)
Quantized variant used in the Safety-Aware Configuration-Conditioned LoRA study.
| field | value |
|---|---|
| scheme | NF4 |
| method | bitsandbytes |
| simulated | no — native kernel |
| weight bits | 4 |
| activation bits | 16 |
| group / block size | 64 |
| symmetric | False |
| calibration | none — data-free |
| calibration sha256 | n/a |
The calibration set is byte-identical across every configuration so that calibration data cannot be confounded with quantization method. c2 vs c3 isolates method (GPTQ vs AWQ) at equal bit-width, and is the study's headline control: 0.0276 vs 0.0661 pooled ASR with non-overlapping 95% CIs.
Metrics, per-prompt judge verdicts and the full report: Jeesup/safety-quant-phase0.
- Type
- llama
- Created
- Aug 9, 2026
- Updated
- Aug 10, 2026