humanizer
googleapache-2.0textvision

humanizer

Updated Oct 31, 2026
Parameters
12B
Context
262,144
License
apache-2.0
Q4 GGUF
7.63 GB
Updated
Oct 31, 2026

Q4 GGUF download: jialinyyzz/humanizer-GGUF - 7.63 GB on disk, read 2026-10-30. VRAM figures above are estimates; this is the actual file size.

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q8_0
3 of 4 quantizations fit humanizer with real runtime overhead.
Q4_K_M
7 GB
Q5_K_M
9 GB
Q8_0
13 GB
FP16
24 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve jialinyyzz/humanizer

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

humanizer is a 12B-parameter apache-2.0 model from jialinyyzz. At Q4_K_M it needs roughly 7 GB of VRAM, placing it in the 8–12 GB GPU hardware tier.

Popularity

humanizer has 229,568 downloads in the last month on HuggingFace and 2,207 likes.

Frequently asked

Quick answers to common questions

How much VRAM does humanizer need?

humanizer with 12B parameters needs approximately 7 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is humanizer better than other google models?

humanizer has 12B parameters with 262,144 context - a strong choice for general use.

What license is humanizer under?

humanizer is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs humanizer well?

With 12B parameters, humanizer requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for humanizer?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~9 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can humanizer's context window handle?

humanizer supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with humanizer?

humanizer competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec