Q3-8B-Kintsugi-GGUF / README.md
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metadata
base_model: allura-org/Q3-8B-Kintsugi
datasets:
  - PygmalionAI/PIPPA
  - Alfitaria/nemotron-ultra-reasoning-synthkink
  - PocketDoc/Dans-Prosemaxx-Gutenberg
  - FreedomIntelligence/Medical-R1-Distill-Data
  - cognitivecomputations/SystemChat-2.0
  - allenai/tulu-3-sft-personas-instruction-following
  - kalomaze/Opus_Instruct_25k
  - simplescaling/s1K-claude-3-7-sonnet
  - ai2-adapt-dev/flan_v2_converted
  - grimulkan/theory-of-mind
  - grimulkan/physical-reasoning
  - nvidia/HelpSteer3
  - nbeerbower/gutenberg2-dpo
  - nbeerbower/gutenberg-moderne-dpo
  - nbeerbower/Purpura-DPO
  - antiven0m/physical-reasoning-dpo
  - allenai/tulu-3-IF-augmented-on-policy-70b
  - NobodyExistsOnTheInternet/system-message-DPO
language:
  - en
library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - mergekit
  - axolotl
  - unsloth
  - roleplay
  - conversational

About

static quants of https://huggingface.co/allura-org/Q3-8B-Kintsugi

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Q3-8B-Kintsugi-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 3.4
GGUF Q3_K_S 3.9
GGUF Q3_K_M 4.2 lower quality
GGUF Q3_K_L 4.5
GGUF IQ4_XS 4.7
GGUF Q4_K_S 4.9 fast, recommended
GGUF Q4_K_M 5.1 fast, recommended
GGUF Q5_K_S 5.8
GGUF Q5_K_M 6.0
GGUF Q6_K 6.8 very good quality
GGUF Q8_0 8.8 fast, best quality
GGUF f16 16.5 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.