Hermes 4 14B (Abliterated)
Hermes 4 14B Abliterated is a locally deployable Open Weights variant by NousResearch based on Qwen 3 14B, with safety mechanisms deliberately removed. With 14 billion parameters and a 128,000-token context window, the model targets unfiltered response behavior, creative writing workflows, and scenarios requiring maximum openness. Fully commercially usable under the Apache 2.0 license.
- Open Weights
- Desktop
- llama.cpp
- Text
- Instruction-Tuned
- Uncensored
- Batch
Sovereign Risk: MEDIUM NousResearch is a US-based company; the CLOUD Act is only relevant when using the API, not when running the Open Weights variant locally. Abliteration only increases behavioral openness, not the provenance risk of the weights.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 68.19
- Routine
- 41.26
- Reasoning
- 26.92
- LLM Judge Avg
- 3.27 / 5
- 100 Coverage
- Avg Task Duration
- 65.68s
- Batch
- Token Rate
- 25.39tok/s
- Output Rate
- P95 Latency
- 299.57s
- Top 5 %
- Total Tokens
- 63400
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 63400 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median