aimeri/spoomplesmaxx-thrasher-24B-i1-GGUF overview
spoomplesmaxx thrasher 24B — i1 GGUF imatrix Weighted/imatrix GGUF quants of spoomplesmaxx thrasher 24B https://huggingface.co/aimeri/spoomplesmaxx thrasher 24…
Runs locally from ~8.64 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| spoomplesmaxx-thrasher-24B.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 8.64 GB | Download |
| spoomplesmaxx-thrasher-24B.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 11.88 GB | Download |
| spoomplesmaxx-thrasher-24B.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 10.69 GB | Download |
| spoomplesmaxx-thrasher-24B.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 13.35 GB | Download |
Model Details
| Model ID | aimeri/spoomplesmaxx-thrasher-24B-i1-GGUF |
|---|---|
| Author | aimeri |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | aimeri/spoomplesmaxx-thrasher-24B |
| Last modified | 2026-08-28T08:54:12.000Z |
Model README
---
license: apache-2.0
base_model: aimeri/spoomplesmaxx-thrasher-24B
library_name: gguf
pipeline_tag: text-generation
tags:
- roleplay
- creative-writing
- chatml
language:
- en
---
spoomplesmaxx-thrasher-24B — i1 GGUF (imatrix)
Weighted/imatrix GGUF quants of spoomplesmaxx-thrasher-24B
("Thrash Metal", mimids 02). Calibrated on ~2M chars sampled from the model's own
training corpus (the imatrix.dat is included if you want to cut your own sizes).
ChatML template embedded — llama.cpp picks it up without ceremony.
Prefer these over the static quants
at 3–4 bit; at 5 bit and above the statics are fine.
spoomplesmaxx-thrasher-24B.i1-IQ3_XXS.gguf ~8.7 GB smallest usable
spoomplesmaxx-thrasher-24B.i1-Q3_K_M.gguf ~11 GB 12GB cards
spoomplesmaxx-thrasher-24B.i1-IQ4_XS.gguf ~12 GB quality-per-GB pick
spoomplesmaxx-thrasher-24B.i1-Q4_K_M.gguf ~14 GB the 24GB-card sweet spot
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. 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.
For adults. Stays in character by design; bring your own moderation. Apache 2.0.
Run aimeri/spoomplesmaxx-thrasher-24B-i1-GGUF with guIDE
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Source: Hugging Face · Compare models