Dataset updated 2026-11-12

TwIL-8B

TwIL-8B loads in 5.3 GB at Q4_K_M, comfortably from 12 GB of memory, Macs included, starting at the Mac Mini M6 16GB. Below is the memory math we ran for it, the smallest card that fits, and the fastest machine we track.

Parameters
8.79B
Format
Q4_K_M
Min memory
8 GB
Best for
Math, Coding, Reasoning
Memory math

How much memory does TwIL-8B need?

TwIL-8B is a 8.79B dense model built for math, coding, reasoning. The weights alone take 5.3 GB at Q4_K_M; add context and the OS, and it belongs in the 12 GB memory class. Every number below comes from the ModelFit engine: speeds are estimates, labeled est., because we do not benchmark hardware ourselves.

Weights (Q4_K_M)
5.3 GB
+ KV cache (16k)
~2.0 GB
Total at 16k
~7.3 GB
Comfortable from
12 GB

Run with llama.cpp: llama-server -hf mradermacher/TwIL-8B-GGUF:Q4_K_M.

KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).

Hardware snapshot

Which machines run TwIL-8B?

Smallest GPU
NVIDIA GeForce RTX 4060est. 38 tok/s · 8 GB VRAMtypical error 5%
Fastest
NVIDIA GeForce RTX 5090est. 204 tok/stypical error 5%
Runs on a Mac?
Mac Mini M6 16GBest. 24 tok/stypical error 10%

Verdicts come from the same engine that powers our fit checker: memory capacity first, bandwidth for speed. How we compute these numbers · What typical error means · Hugging Face model card

Config reports

No speed test run for this model yet. Run the speed test: npx @modelfit/cli@latest bench

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Frequently asked questions

How much memory does TwIL-8B need?

5.3 GB for the Q4_K_M weights, plus ~2.0 GB of KV-cache at 16k context, about 7.3 GB total. Comfortable from 12 GB of VRAM or unified memory.

Does TwIL-8B run on a Mac?

Yes, from the Mac Mini M6 16GB (est. 24 tok/s, typical error 10%). Unified memory means the RAM budget is the only limit.

What is the smallest GPU for TwIL-8B?

The NVIDIA GeForce RTX 4060 (8 GB VRAM) is the smallest tracked card that runs TwIL-8B comfortably, est. 38 tok/s, typical error 5%.

Cite this page

ModelFit: TwIL-8B, specs, memory math and hardware verdicts.
https://modelfit.io/models/twil-8b/ (dataset updated 2026-11-12, CC BY 4.0).