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metadata
base_model: DavidAU/Qwen3-Silent-Scream-6B
datasets:
  - aneeshas/imsdb-horror-movie-scripts
language:
  - en
library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - programming
  - code generation
  - code
  - coding
  - coder
  - chat
  - code
  - chat
  - brainstorm
  - qwen
  - qwen3
  - qwencoder
  - brainstorm 20x
  - creative
  - all uses cases
  - Jan-V1
  - float32
  - horror
  - 32 bit precision
  - science fiction
  - fantasy
  - finetune
  - thinking
  - reasoning
  - unsloth
  - not-for-all-audiences

About

static quants of https://huggingface.co/DavidAU/Qwen3-Silent-Scream-6B

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-Silent-Scream-6B-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF Q2_K 2.6
GGUF Q3_K_S 3.0
GGUF Q3_K_M 3.3 lower quality
GGUF Q3_K_L 3.5
GGUF IQ4_XS 3.6
GGUF Q4_K_S 3.8 fast, recommended
GGUF Q4_K_M 4.0 fast, recommended
GGUF Q5_K_S 4.5
GGUF Q5_K_M 4.6
GGUF Q6_K 5.3 very good quality
GGUF Q8_0 6.8 fast, best quality
GGUF f16 12.8 16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.