ModelHub XC 21a35207ab 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/bagel-dpo-7b-v0.5-i1-GGUF
Source: Original Platform
2026-09-27 04:51:17 +08:00

base_model, datasets, language, library_name, license, quantized_by
base_model datasets language library_name license quantized_by
jondurbin/bagel-dpo-7b-v0.5
ai2_arc
allenai/ultrafeedback_binarized_cleaned
argilla/distilabel-intel-orca-dpo-pairs
jondurbin/airoboros-3.2
codeparrot/apps
facebook/belebele
bluemoon-fandom-1-1-rp-cleaned
boolq
camel-ai/biology
camel-ai/chemistry
camel-ai/math
camel-ai/physics
jondurbin/contextual-dpo-v0.1
jondurbin/gutenberg-dpo-v0.1
jondurbin/py-dpo-v0.1
jondurbin/truthy-dpo-v0.1
LDJnr/Capybara
jondurbin/cinematika-v0.1
WizardLM/WizardLM_evol_instruct_70k
glaiveai/glaive-function-calling-v2
jondurbin/gutenberg-dpo-v0.1
grimulkan/LimaRP-augmented
lmsys/lmsys-chat-1m
ParisNeo/lollms_aware_dataset
TIGER-Lab/MathInstruct
Muennighoff/natural-instructions
openbookqa
kingbri/PIPPA-shareGPT
piqa
Vezora/Tested-22k-Python-Alpaca
ropes
cakiki/rosetta-code
Open-Orca/SlimOrca
b-mc2/sql-create-context
squad_v2
mattpscott/airoboros-summarization
migtissera/Synthia-v1.3
unalignment/toxic-dpo-v0.2
WhiteRabbitNeo/WRN-Chapter-1
WhiteRabbitNeo/WRN-Chapter-2
winogrande
en
transformers apache-2.0 mradermacher

About

weighted/imatrix quants of https://huggingface.co/jondurbin/bagel-dpo-7b-v0.5

static quants are available at https://huggingface.co/mradermacher/bagel-dpo-7b-v0.5-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 i1-IQ1_S 1.7 for the desperate
GGUF i1-IQ1_M 1.9 mostly desperate
GGUF i1-IQ2_XXS 2.1
GGUF i1-IQ2_XS 2.3
GGUF i1-IQ2_S 2.4
GGUF i1-IQ2_M 2.6
GGUF i1-Q2_K_S 2.6 very low quality
GGUF i1-Q2_K 2.8 IQ3_XXS probably better
GGUF i1-IQ3_XXS 2.9 lower quality
GGUF i1-IQ3_XS 3.1
GGUF i1-Q3_K_S 3.3 IQ3_XS probably better
GGUF i1-IQ3_S 3.3 beats Q3_K*
GGUF i1-IQ3_M 3.4
GGUF i1-Q3_K_M 3.6 IQ3_S probably better
GGUF i1-Q3_K_L 3.9 IQ3_M probably better
GGUF i1-IQ4_XS 4.0
GGUF i1-Q4_0 4.2 fast, low quality
GGUF i1-Q4_K_S 4.2 optimal size/speed/quality
GGUF i1-Q4_K_M 4.5 fast, recommended
GGUF i1-Q5_K_S 5.1
GGUF i1-Q5_K_M 5.2
GGUF i1-Q6_K 6.0 practically like static Q6_K

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

Description
Model synced from source: mradermacher/bagel-dpo-7b-v0.5-i1-GGUF
Readme 29 KiB