Architecture
data/models.yaml. Every label is auditable
against the model's sources.
Specs
- Architecture
- moe
- Total params
- 218B
- Active params
- 25B
- Context window
- 128K tokens
- Attention
- unknown
- Position encoding
- unknown
- Post-training
- sft, rlhf
- OSI-approved
- yes
- Data released
- no
- Training code
- not released
Benchmarks
Each score carries the date it was published; we never infer or interpolate missing scores.
General reasoning
| GPQA-Diamond | 76.1 | as of 2026-05-21 | source ↗ |
Available quantizations
GGUF llama.cpp's container; the common local format, k-quants from Q2 to Q8.
runs on llama.cpp, Ollama
FP8 8-bit float, frequently a native release on Hopper / Blackwell GPUs.
runs on vLLM, SGLang, TensorRT-LLM
Verified via the Hugging Face model tree ↗. Community quantizations change over time; the families shown are those with published weights at audit time.
Notable innovations
- · First Apache 2.0 Cohere model
- · W4A4 4-bit native distribution
- · Native citations via lossless quantization claim
- · Sovereign-deployment focus (air-gapped, on-prem)
Lineage
First Apache 2.0 Cohere model; targets sovereign / air-gapped enterprise.
Derived from
Command A 2025-03-13