kai-os / Carnice-27b

Carnice-27b

Carnice-27b is the merged full-model release of the Trinity Hermes-Agent training run on top of Qwen/Qwen3.5-27B .

This repo contains the merged Stage C weights, not just the adapter. The adapter was trained in three stages and then merged back into the base model so it can load as a standalone checkpoint.

Acknowledgements

This work would not have been possible without Zachary Mueller , Lambda , Teknium , and Nous Research .

Trained using traces from lambda/hermes-agent-reasoning-traces

Trinity Process

Stage A: Premium Reasoning Backbone

• 3300 train rows
• 193 validation rows
• 12288 max length
• final eval loss 0.5316
• final eval perplexity 1.7016

Stage B: Hermes Alignment

• widened Carnice + DJ + Lambda alignment mix
• 2269 train rows
• 80 validation rows
• final eval loss 0.2336
• final eval perplexity 1.2632

Stage C: Carnice Polish

• 600 train rows
• 60 validation rows
• final eval loss 0.2310
• final eval perplexity 1.2599

Intended Use

Carnice-27b is tuned for Hermes-Agent style terminal, file, browser, repo, debugging, and multi-step tool workflows.

Benchmark Status

Reproducible benchmark runs are not attached yet. They will be added only after the dedicated benchmark box run is complete.