Static GGUF quants of spoomplesmaxx-thrasher-24B ("Thrash Metal", mimids 02). ChatML template embedded — llama.cpp picks it up without ceremony. See the main card for the full story: the token surgery that put ChatML on a Mistral base, the checkpoint-selection battery, and the measured sampler guidance. Sampler (swept on the full-precision model): **temperature 1.0 · min_p 0.05**. A mild repetition_penalty 1.05 eliminated the verbatim-loop tail in our sweep at the cost of a rare unfinished turn — a reasonable opt-in here, unlike on mockingbird. imatrix quants: coming in a separate repo — prefer those at 3–4 bit once live.

Text generation

Input Text→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

COST EXPLORER

Great models. Clear costs.

Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

MODEL HANDBOOK

Understand before you choose

Selection guide & FAQ

How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

Find your ideal AI model.

Explore AI models 2

name-generator

spoomplesmaxx-thrasher-24B-GGUF

No matching models

Great models. Clear costs.

Understand before you choose

Follow trends. Find tools. Explore models.