UnifiedReward-2.0-qwen-7b-GGUF – AI Model by mradermacher | AlphaNeural AI

You can deploy this model and start earning money today!

mradermacher/
UnifiedReward-2.0-qwen-7b-GGUF

like

0

CodeGoat24/UnifiedReward-2.0-qwen-7b

CodeGoat24/EvalMuse

CodeGoat24/LiFT-HRA

CodeGoat24/LLaVA-Critic-113k

CodeGoat24/ShareGPTVideo-DPO

CodeGoat24/VideoDPO

CodeGoat24/VideoFeedback

endpoints_compatible

Views

No views yet

About

static quants of https://huggingface.co/CodeGoat24/UnifiedReward-2.0-qwen-7b

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/UnifiedReward-2.0-qwen-7b-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	mmproj-Q8_0	1.0	multi-modal supplement
GGUF	mmproj-f16	1.5	multi-modal supplement
GGUF	Q2_K	3.1
GGUF	Q3_K_S	3.6
GGUF	Q3_K_M	3.9	lower quality
GGUF	Q3_K_L	4.2
GGUF	IQ4_XS	4.4
GGUF	Q4_K_S	4.6	fast, recommended
GGUF	Q4_K_M	4.8	fast, recommended
GGUF	Q5_K_S	5.4
GGUF	Q5_K_M	5.5
GGUF	Q6_K	6.4	very good quality
GGUF	Q8_0	8.2	fast, best quality
GGUF	f16	15.3	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.