MODEL PROFILE

gemma-4-12B-it-FP8-Dynamic

RedHatAI · gemma-4-12B-it-FP8-Dynamic

This is a preliminary version (and subject to change) of FP8_Dynamic quantized google/gemma-4-12B-it model. The model has both weights and activations quantized to FP8_Dynamic format with vllm-project/llm-compressor. Run this script with this LLM Compressor PR and latest transformers to quantize the model using iMatrix quantization Evals: | model_name | flexible-extract | strict-match | bits_per_byte | byte_ppl | |---------------|------------------|--------------|---------------|----------| | baseline-bf16 | 0.9082 | 0.8958 | 1.9125 | 3.7645 | | FP8-RTN | 0.9115 | 0.8999 | 1.9368 | 3.8285 | | *FP8-iMatrix* | 0.9198 | 0.9032 | 1.9056 | 3.7465 | | FP8-GPTQ | 0.9098 | 0.8950 | 1.9357 | 3.8257 |

license:apache-2.0
Context windowNot disclosed
Input → Output待核验 → 待核验
Model weightsNot verified
Profile updated2026/11/2 19:16:03
OVERVIEW

Model overview

This is a preliminary version (and subject to change) of FP8_Dynamic quantized google/gemma-4-12B-it model. The model has both weights and activations quantized to FP8_Dynamic format with vllm-project/llm-compressor. Run this script with this LLM Compressor PR and latest transformers to quantize the model using iMatrix quantization Evals: | model_name | flexible-extract | strict-match | bits_per_byte | byte_ppl | |---------------|------------------|--------------|---------------|----------| | baseline-bf16 | 0.9082 | 0.8958 | 1.9125 | 3.7645 | | FP8-RTN | 0.9115 | 0.8999 | 1.9368 | 3.8285 | | *FP8-iMatrix* | 0.9198 | 0.9032 | 1.9056 | 3.7465 | | FP8-GPTQ | 0.9098 | 0.8950 | 1.9357 | 3.8257 |

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.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

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。

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Frequently asked questions

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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。