base_model, extra_gated_fields, extra_gated_prompt, language, library_name, license, quantized_by, tags

base_model	extra_gated_fields	extra_gated_prompt	language	library_name	license	quantized_by	tags
huihui-ai/c4ai-command-r7b-12-2024-abliterated	Affiliation Country I agree to use this model for non-commercial use ONLY Name text country checkbox text	By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and acknowledge that the information you provide will be collected, used, and shared in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll receive email updates about C4AI and Cohere research, events, products and services. You can unsubscribe at any time.	en fr de es it pt ja ko zh ar el fa pl id cs he hi nl ro ru tr uk vi	transformers	cc-by-nc-4.0	mradermacher	abliterated uncensored

About

static quants of https://huggingface.co/huihui-ai/c4ai-command-r7b-12-2024-abliterated

weighted/imatrix quants are available at https://huggingface.co/mradermacher/c4ai-command-r7b-12-2024-abliterated-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	3.5
GGUF	Q3_K_S	4.0
GGUF	Q3_K_M	4.3	lower quality
GGUF	Q3_K_L	4.6
GGUF	IQ4_XS	4.7
GGUF	Q4_K_S	4.9	fast, recommended
GGUF	Q4_K_M	5.2	fast, recommended
GGUF	Q5_K_S	5.8
GGUF	Q5_K_M	5.9
GGUF	Q6_K	6.7	very good quality
GGUF	Q8_0	8.6	fast, best quality
GGUF	f16	16.2	16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

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.