magnum-v4-12b-GGUF / README.md
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metadata
base_model: anthracite-org/magnum-v4-12b
datasets:
  - anthracite-org/c2_logs_32k_llama3_qwen2_v1.2_no_system
  - anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
  - anthracite-org/kalo-opus-instruct-3k-filtered-no-system
  - anthracite-org/nopm_claude_writing_fixed
  - anthracite-org/kalo_opus_misc_240827_no_system
  - anthracite-org/kalo_misc_part2_no_system
language:
  - en
library_name: transformers
license: apache-2.0
license_name: mrl
quantized_by: mradermacher
tags:
  - chat

About

static quants of https://huggingface.co/anthracite-org/magnum-v4-12b

weighted/imatrix quants are available at https://huggingface.co/mradermacher/magnum-v4-12b-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 4.9
GGUF Q3_K_S 5.6
GGUF Q3_K_M 6.2 lower quality
GGUF Q3_K_L 6.7
GGUF IQ4_XS 6.9
GGUF Q4_K_S 7.2 fast, recommended
GGUF Q4_K_M 7.6 fast, recommended
GGUF Q5_K_S 8.6
GGUF Q5_K_M 8.8
GGUF Q6_K 10.2 very good quality
GGUF Q8_0 13.1 fast, best quality

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.