mradermacher/dagger-12B_SFT_GRPO-GGUF

---

basemodel: dipta007/dagger-12BSFT_GRPO datasets:

• dipta007/dagger
• dipta007/DistractMath-Bn

language:

• bn
• en

library_name: transformers license: gemma license_link: https://ai.google.dev/gemma/terms mradermacher: readme_rev: 1 quantized_by: mradermacher tags:

• math
• reasoning
• computational-graph
• bangla
• low-resource
• distractor-aware

---

About

static quants of https://huggingface.co/dipta007/dagger-12BSFTGRPO

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/dagger-12BSFTGRPO-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	0.7	multi-modal supplement
GGUF	mmproj-f16	1.0	multi-modal supplement
GGUF	Q2_K	4.9
GGUF	Q3K_S	5.6
GGUF	Q3K_M	6.1	lower quality
GGUF	Q3K_L	6.6
GGUF	IQ4_XS	6.7
GGUF	Q4K_S	7.0	fast, recommended
GGUF	Q4K_M	7.4	fast, recommended
GGUF	Q5K_S	8.3
GGUF	Q5K_M	8.5
GGUF	Q6_K	9.8	very good quality
GGUF	Q8_0	12.6	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.