Qwen 3.5 122B Heretic ROCmFP4 iMatrix Released for AMD GPUs
Deploy Qwen 3.5 122B Heretic ROCmFP4 iMatrix with 122B total, 10B active, 60.70 GiB memory, 28.45 tok/s for high‑throughput inference.
Deploy Qwen 3.5 122B Heretic ROCmFP4 iMatrix with 122B total, 10B active, 60.70 GiB memory, 28.45 tok/s for high‑throughput inference.
Summary
Qwen 3.5 122B Heretic ROCmFP4 iMatrix has been released, featuring 122 B total parameters with 10 B active, 60.70 GiB memory usage, and a throughput of 28.45 tokens per second. The model operates in BF16 precision and reports a KLD of 0.100716, achieving a peak performance of 353.3 tokens per second in the PP benchmark. The ROCmFP4 iMatrix variant is optimized for AMD GPUs, leveraging ROCmFP4 mixed‑precision for efficient inference. The release includes a Hugging Face model card and a GGUF checkpoint, enabling easy integration into existing inference pipelines. The model’s large context window and mixture‑of‑experts architecture make it suitable for high‑throughput, low‑latency applications on AMD hardware. The release demonstrates the growing competitiveness of open‑weight models on non‑NVIDIA platforms.
Key changes
- 122 B total parameters, 10 B active
- 60.70 GiB memory usage
- 28.45 tokens per second throughput
- BF16 precision
- KLD 0.100716
- PP benchmark 353.3 t/s
- ROCmFP4 iMatrix optimized for AMD GPUs