Granite-4.2-cmf

Model overview

This repository contains all three dense reasoning models from IBM's Granite 4.2 family: 3B, 8B and 30B, each converted directly from the original bf16 checkpoint to Q4TP and Q8_2F CMF. A CMF is one memory-mapped file containing the weights, tokenizer, exact chat template and integrity hashes. The same artifact runs on CPU, Vulkan (NVIDIA/AMD/Intel), DX12 and Metal; inference needs no Python, PyTorch, CUDA toolkit or model-specific GPU build. Use `--no-think` for a direct answer. Without it, the embedded Granite template opens the model's native ` ... ` reasoning block. Numbers are single-stream `cortiq bench --tokens 100 --core --ignore-eos` steady decode on an NVIDIA A40. They exclude model load and prompt prefill. The 3B Q4TP run prefills at 80.3 tok/s and reaches first token in 0.58 s; its Q8_2F control prefills at 47.5 tok/s and reaches first token in 0.93 s. The 30B Q8_2F file is larger than the A40's safe physical graph live set: Cortiq automatically kept 55 of 64 layers on Vulkan and ran the nine-layer tail on the host. That 100-token run peaked at 43,036 MiB of the A40's 46,068 MiB and completed without steady-state weight uploads.

Key features

特点摘要待依据来源补齐，不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

Frequently asked questions

Sources & traceability

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。