79 Downloads Updated 7 months ago
ollama run richardyoung/stablelm-2-12b-chat-abliterated:Q4_K_M
This is an abliterated version of stabilityai/stablelm-2-12b-chat that reduces refusal behavior through targeted weight modification using the Heretic library while maintaining model coherence.
| Metric | Before | After |
|---|---|---|
| Refusals | TBD | TBD |
| Reduction | - | TBD |
| KL Divergence | - | TBD |
Refusal metrics pending re-measurement.
A low KL divergence (< 1.0) indicates the model retains its original capabilities and reasoning quality.
| Tag | Size | BPW | Notes |
|---|---|---|---|
latest / Q4_K_M |
7.4 GB | 4.85 | Recommended |
BPW reference guide (bits per weight): IQ3_M 3.66 · IQ4_XS 4.25 · Q4_K_M 4.85 · Q5_K_M 5.68 · Q6_K 6.56 · Q8_0 8.5
ollama run richardyoung/stablelm-2-12b-chat-abliterated
Pull a specific quantization:
ollama pull richardyoung/stablelm-2-12b-chat-abliterated:Q4_K_M
| VRAM | Performance |
|---|---|
| 8 GB | Good |
| 12 GB | Excellent |
| 16 GB+ | Excellent |
Base Model: stabilityai/stablelm-2-12b-chat | Parameters: 12B | Context: 4,096 tokens | Quantization: Q4_K_M (4.85 bits per weight)
Architecture: 40 transformer layers · hidden size 5,120 · 32 attention heads · 8 key-value heads (grouped-query attention) · vocab size 100,352 · ChatML prompt format · English.
This model has reduced safety guardrails. The removal of refusal behavior means the model will engage with a wider range of prompts. Use responsibly and in accordance with the base model’s license.
Built & maintained by Richard Young · DeepNeuro